Uses of Class
jline.util.matrix.MatrixCell

Packages that use MatrixCell

Package	Description
jline.api.aoi	Age of Information (AoI) analysis algorithms.
jline.api.cache	Cache modeling algorithms and performance analysis methods.
jline.api.fj
jline.api.mam	Matrix Analytic Methods (MAM) for structured Markov chains.
jline.api.mam.m3pp	Marked Markov-Modulated Poisson Process (M3PP) manipulation and fitting.
jline.api.npfqn	Non-Product Form Queueing Network algorithms.
jline.api.pfqn.mva	Mean Value Analysis algorithms for Product Form Queueing Networks.
jline.api.polling	Polling system analysis algorithms.
jline.api.qsys	Queueing system analysis algorithms.
jline.io	Input/output from the command line or XML files.
jline.lang	Abstractions to declare basic elements of a model.
jline.lang.layered	This package contains the classes used the specify LayeredNetwork objects
jline.lang.nodeparam	Node parameter specifications and configuration classes.
jline.lang.processes	This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
jline.lib.butools	Port of BuTools library for phase-type distributions and MAP processes.
jline.lib.butools.dmap
jline.lib.butools.map	Package containing Markovian Arrival Process (MAP) functions.
jline.lib.kpctoolbox	Port of the KPC-Toolbox library for Markovian process fitting and manipulation.
jline.lib.kpctoolbox.aph
jline.lib.kpctoolbox.erchmm
jline.lib.kpctoolbox.kpcfit
jline.lib.kpctoolbox.mmpp
jline.lib.kpctoolbox.smp
jline.lib.m3a	Port of M3A library for matrix-based moment matching approximation algorithms.
jline.solvers.ctmc	This package provides an implementation of SolverCTMC.
jline.solvers.env	This package provides an implementation of SolverENV (ENV).
jline.solvers.mam.handlers	Handlers for SolverMAM.
jline.util	Fundamental data structures and utilities
jline.util.matrix	Matrix operations and linear algebra utilities for queueing analysis.

Uses of MatrixCell in jline.api.aoi

Methods in jline.api.aoi with parameters of type MatrixCell

Modifier and Type	Method	Description
static Aoi_dist2phResult	Aoi_dist2ph.aoi_dist2ph(MatrixCell proc)	Convert LINE process representation to PH format for AoI analysis.

Uses of MatrixCell in jline.api.cache

Methods in jline.api.cache with parameters of type MatrixCell

Modifier and Type	Method	Description
static Ret.cacheGamma	Cache_gamma.cache_gamma(MatrixCell lambda, MatrixCell R)	Computes access factors for the cache.
static CacheMissFpiResult	Cache_miss_fpi.cache_miss_fpi(Matrix gamma, Matrix m, MatrixCell lambda)	Compute cache miss rates using Fixed Point Iteration (FPI) method.
static Ret.cacheMissSpm	Cache_miss_is.cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda)
static Ret.cacheMissSpm	Cache_miss_is.cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda, int samples)	Computes cache miss rates using Monte Carlo importance sampling.
static Ret.cacheMissSpm	Cache_miss_rayint.cache_miss_rayint(Matrix gamma, Matrix m, MatrixCell lambda)	Estimates the cache miss rate and related metrics using the ray method for PDEs.
static Ret.cacheMissSpm	Cache_miss_spm.cache_miss_spm(Matrix gamma, Matrix m, MatrixCell lambda)
static Matrix	Cache_t_lrum_map.cache_t_lrum_map(MatrixCell[] D0, MatrixCell[] D1, Matrix m)
static double	Cache_ttl_lrum_map.cache_ttl_lrum_map(MatrixCell[] D0Matrix, MatrixCell[] D1Matrix, Matrix m)
static Matrix	Cache_t_lrum_map.lrummapTime(double[] x, MatrixCell[] D0Matrix, MatrixCell[] D1Matrix, Matrix m, int n, int h)

Uses of MatrixCell in jline.api.fj

Methods in jline.api.fj with parameters of type MatrixCell

Modifier and Type	Method	Description
static FJService	FJConvert.convertToFJServiceFromProc(MatrixCell proc)	Convert LINE process cell {D0, D1} to FJ service format.

Uses of MatrixCell in jline.api.mam

Fields in jline.api.mam declared as MatrixCell

Modifier and Type	Field	Description
final MatrixCell	Mamap2m_fit_fb_multiclass.FitResult.mmap

Methods in jline.api.mam that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	Amap2_fit_gamma.amap2_assemble(double l1, double l2, double p1, double p2, int form)
static MatrixCell	Aph_fit.aph_fit(double e1, double e2, double e3)	Fits APH using the default maximum order of 10.
static MatrixCell	Aph_fit.aph_fit(double e1, double e2, double e3, int nmax)	Fits an acyclic phase-type (APH) distribution to the given moments of a random variable.
static MatrixCell	Aph_rand.aph_rand()	Generates a random Acyclic Phase-type (APH) distribution with 2 phases.
static MatrixCell	Aph_rand.aph_rand(int K)	Generates a random Acyclic Phase-type (APH) distribution with K phases.
static MatrixCell	Aph2_assemble.aph2_assemble(double l1, double l2, double p1)	Assembles an acyclic phase-type (APH) distribution with two phases (APH(2)) using the given parameters.
MatrixCell	QbdMapMap1Result.getMAPs()
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S, Object options, double[] weights)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S, Object options, double[] weights)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_bs(double M1, double M2, double M3, double GAMMA, Matrix P, Matrix B, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_bs_mmap(MatrixCell mmap)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_bs_trace(Matrix T, Matrix A)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_fs(double M1, double M2, double M3, double GAMMA, Matrix P, Matrix F, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_fs_mmap(MatrixCell mmap)
static MatrixCell	Mamap22_fit_gamma_fs_trace.mamap22_fit_gamma_fs_trace(double[] interArrivalTimes, int[] classLabels)	Fits a MAMAP(2,2) using forward-start method from trace data.
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_fs_trace(Matrix T, Matrix A)
static MatrixCell	Mamap2m_fit_gamma_fb_mmap.mamap2m_fit_gamma_fb(double M1, double M2, double M3, double GAMMA, double[] P, double[] F, double[] B)	Computes the second-order MAMAP[m] fitting the given moments.
static MatrixCell	Mamap2m_fit_gamma_fb_mmap.mamap2m_fit_gamma_fb_mmap(MatrixCell mmap)	Fits a second-order acyclic MMAP[m] to match the characteristics of the input MMAP.
static MatrixCell	Mamap2m_fit_gamma_fb_trace.mamap2m_fit_gamma_fb_trace(double[] T, int[] A)	Performs approximate fitting of a marked trace, yielding a second-order acyclic MMAP that matches the class probabilities, the forward and backward moments.
static MatrixCell	Mamap2m_fit_gamma_fb_trace.mamap2m_fit_gamma_fb_trace(Matrix T, Matrix A)	Performs approximate fitting of a marked trace from Matrix inputs.
static MatrixCell	Mamap2m_fit_mmap.mamap2m_fit_mmap(MatrixCell MMAP)
static MatrixCell	Mamap2m_fit_mmap.mamap2m_fit_mmap(MatrixCell MMAP, double[] fbsWeights)
static MatrixCell	Mamap2m_fit_trace.mamap2m_fit_trace(double[] interArrivalTimes, int[] classLabels)	Fits a MAMAP(2,m) to trace data.
static MatrixCell	Map_anfit.map_anfit(double ls, double rho, double H, int n, int ds)
static MatrixCell	Map_anfit.map_anfit(double ls, double rho, double H, int n, int ds, double[] SA, int[] SAlags)
static MatrixCell	Map_anfit.map_anfit(double ls, double rho, double H, int n, int ds, double[] SA, int[] SAlags, int iter_max, double iter_tol)
static MatrixCell	Map_bernstein.map_bernstein(DoubleUnaryOperator f)
static MatrixCell	Map_bernstein.map_bernstein(DoubleUnaryOperator f, int n)	Converts a distribution to a MAP via Bernstein polynomial approximation.
static MatrixCell	Map_erlang.map_erlang(double mean, int k)	Fits an Erlang-k process as a Markovian Arrival Process (MAP).
static MatrixCell	Map_exponential.map_exponential(double mean)	Creates a Markovian Arrival Process (MAP) with an exponential inter-arrival time distribution.
static MatrixCell	Map_hyperexp.map_hyperexp(double mean, double scv, double p)	Fit a two-phase Hyper-exponential renewal process as a MAP.
static MatrixCell	Map_mark.map_mark(MatrixCell MAP, Matrix prob)	Creates a Marked Markovian Arrival Process (MMAP) by marking a given MAP with additional phases based on specified marking probabilities.
static MatrixCell	Map_max.map_max(MatrixCell A, MatrixCell B)	Computes the MAP that represents the maximum of two independent MAPs.
static MatrixCell	Map_mixture.map_mixture(double[] alpha, MatrixCell[] MAPs)	Creates a probabilistic mixture of Markovian Arrival Processes (MAPs).
static MatrixCell	Map_mmpp2.map_mmpp2(double MEAN, double SCV_param, double SKEW, double ACF1)	Fits an MMPP(2) as a MAP from four descriptive parameters.
static MatrixCell	Map_normalize.map_normalize(MatrixCell MAP)	Sanitizes the (D0, D1) matrices of a MAP stored in a MatrixCell.
static MatrixCell	Map_normalize.map_normalize(Matrix D0, Matrix D1)	Sanitizes the (D0, D1) matrices of a Markovian Arrival Process (MAP).
static MatrixCell	Map_rand.map_rand()	Generates a random Markovian Arrival Process (MAP) with 2 states.
static MatrixCell	Map_rand.map_rand(int K)	Generates a random Markovian Arrival Process (MAP) with K states.
static MatrixCell	Map_randn.map_randn()	Generates a random MAP with 2 states using N(1, 2^2) magnitudes.
static MatrixCell	Map_randn.map_randn(int K, double mu, double sigma)	Generates a random MAP with K states using normal distribution.
static MatrixCell	Map_renewal.map_renewal(MatrixCell MAPIN)	Creates a renewal MAP by removing all correlations from the input MAP.
static MatrixCell	Map_renewal.map_renewal(Matrix D0, Matrix D1)	Creates a renewal MAP by removing all correlations from the input MAP.
static MatrixCell	Map_scale.map_scale(MatrixCell MAP, double newMean)	Rescales the mean inter-arrival time of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
static MatrixCell	Map_scale.map_scale(Matrix D0, Matrix D1, double newMean)	Rescales the mean inter-arrival time of a Markovian Arrival Process (MAP) to a specified new mean.
static MatrixCell	Map_stochcomp.map_stochcomp(MatrixCell MAP, int[] retainIdx)	Performs stochastic complementation on a MAP by eliminating specified states.
static MatrixCell	Map_stochcomp.map_stochcomp(Matrix D0, Matrix D1, int[] retainIdx)	Performs stochastic complementation on a MAP by eliminating specified states.
static MatrixCell	Map_sum.map_sum(MatrixCell MAP, int n)	Computes the Markovian Arrival Process (MAP) representing the sum of n identical MAPs.
static MatrixCell	Map_sumind.map_sumind(MatrixCell[] MAPs)	Computes the Markovian Arrival Process (MAP) representing the sum of `n` independent MAPs.
static MatrixCell	Map_super.map_super(MatrixCell MAPa, MatrixCell MAPb)	Creates a superposition of two Markovian Arrival Processes (MAPs) to form a new MAP.
static MatrixCell	Map_timereverse.map_timereverse(MatrixCell map)	Computes the time-reversed MAP of a given MAP.
static MatrixCell	Maph2m_fit.maph2m_fit(double M1, double M2, double M3, Matrix P, Matrix B)	Computes the second-order MAPH[m] fitting given moments, class probs, and backward moments.
static MatrixCell	Maph2m_fit_mmap.maph2m_fit_mmap(MatrixCell mmap)	Fits an MMAP[m] with a second-order MAPH[m] that matches the class probabilities (always fitted exactly) and the backward moments.
static MatrixCell	Maph2m_fit_multiclass.maph2m_fit_multiclass(double M1, double M2, double M3, double[] classProbs)
static MatrixCell	Maph2m_fit_multiclass.maph2m_fit_multiclass(double M1, double M2, double M3, double[] classProbs, double[] classRates)
static MatrixCell	Maph2m_fit_multiclass.maph2m_fit_multiclass(double M1, double M2, double M3, double[] classProbs, double[] classRates, double[] backwardMoments)	Fits a multi-class MAPH(2,m) model to given multi-class characteristics.
static MatrixCell	Maph2m_fit_trace.maph2m_fit_trace(double[] interArrivalTimes, int[] classLabels)	Fits a multi-class MAPH(2,m) model to trace data with class labels.
static MatrixCell	Maph2m_fit_trace.maph2m_fit_trace_timestamps(double[] arrivalTimes, int[] classLabels)	Fits a multi-class MAPH(2,m) model to trace data with arrival time stamps and class labels.
static MatrixCell	Mmap_modulate.mmap_cross_modulate(MatrixCell mmap1, MatrixCell mmap2)	Cross-modulation between two MMAPs with default strength 0.5.
static MatrixCell	Mmap_modulate.mmap_cross_modulate(MatrixCell mmap1, MatrixCell mmap2, double crossModulationStrength)	Cross-modulation between two MMAPs.
static MatrixCell	Mmap_exponential.mmap_exponential(Matrix lambda)	Fits a single-state MMAP based on the given arrival rates for each job class.
static MatrixCell	Mmap_exponential.mmap_exponential(Matrix lambda, int n)	Fits an order-n MMAP based on the given arrival rates for each job class.
static MatrixCell	Mmap_hide.mmap_hide(MatrixCell MMAP, Matrix types)	Hides specified types of arrivals in a Markovian Arrival Process with marked arrivals (MMAP).
static MatrixCell	Mmap_mark.mmap_mark(MatrixCell MMAP, Matrix prob)	Converts a Markovian Arrival Process with marked arrivals (MMAP) into a new MMAP with redefined classes based on a given probability matrix.
static MatrixCell	Mmap_max.mmap_max(MatrixCell mmap1, MatrixCell mmap2)	Computes the element-wise maximum of two MMAPs.
static MatrixCell	Mmap_max.mmap_max_multiple(List<MatrixCell> mmaps)	Computes the element-wise maximum of multiple MMAPs.
static MatrixCell	Mmap_mixture.mmap_mixture(Matrix alpha, Map<Integer,MatrixCell> MAPs)	Creates a mixture of MMAPs using the given weights (alpha) and MAPs.
static MatrixCell	Mmap_mixture_order2.mmap_mixture_order2(List<MatrixCell> mmaps, double[] weights)	Creates a second-order MMAP mixture from a collection of MMAPs.
static MatrixCell	Mmap_modulate.mmap_modulate(MatrixCell baseMmap, MatrixCell modulatingMmap)	Modulates an MMAP by another MMAP using the default modulation factor 1.0.
static MatrixCell	Mmap_modulate.mmap_modulate(MatrixCell baseMmap, MatrixCell modulatingMmap, double modulationFactor)	Modulates an MMAP by another MMAP, creating a compound arrival process.
static MatrixCell	Mmap_modulate.mmap_modulate_time_varying(MatrixCell baseMmap, kotlin.jvm.functions.Function1<Double,Double> modulationPattern)	Time-varying modulation with default time horizon (10.0) and number of steps (10).
static MatrixCell	Mmap_modulate.mmap_modulate_time_varying(MatrixCell baseMmap, kotlin.jvm.functions.Function1<Double,Double> modulationPattern, double timeHorizon, int numSteps)	Time-varying modulation of an MMAP.
static MatrixCell	Mmap_normalize.mmap_normalize(MatrixCell MMAP)	Normalizes a Markovian Arrival Process with marked arrivals (MMAP) to ensure feasibility.
static MatrixCell	Mmap_rand.mmap_rand(int order, int classes)	Generates a random MMAP with a given order and number of classes.
static MatrixCell	Mmap_scale.mmap_scale(MatrixCell MMAP, Matrix M)	Overloaded function for backward compatibility.
static MatrixCell	Mmap_scale.mmap_scale(MatrixCell MMAP, Matrix M, int maxIter)	Changes the mean inter-arrival time of a Markovian Arrival Process with marked arrivals (MMAP).
static MatrixCell	Mmap_shorten.mmap_shorten(MatrixCell mmap)	Converts an MMAP representation from M3A format to BUTools format.
static MatrixCell	Mmap_sigma2.mmap_sigma2_cell(MatrixCell mmap)	MatrixCell overload.
static MatrixCell	Mmap_sum.mmap_sum(MatrixCell mmap1, MatrixCell mmap2)	Computes the sum of two MMAPs, creating a superposition process.
static MatrixCell	Mmap_sum.mmap_sum_multiple(List<MatrixCell> mmaps)	Computes the sum of multiple MMAPs.
static MatrixCell	Mmap_sum.mmap_sum_selective(List<MatrixCell> mmaps, List<int[]> classSelections)	Selective sum - only sum specific classes from each MMAP.
static MatrixCell	Mmap_sum.mmap_sum_weighted(List<MatrixCell> mmaps, double[] weights)	Weighted sum of MMAPs with scaling factors.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa)	Combines a list of MMAPs into one superposed MMAP.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa, MatrixCell MMAPb)	Combines two MMAPs into one superposed MMAP using the default option.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa, MatrixCell MMAPb, String opt)	Combines two MMAPs into one superposed MMAP.
static MatrixCell	Mmap_super_safe.mmap_super_safe(Map<Integer,MatrixCell> MMAPS, int maxorder)
static MatrixCell	Mmap_super_safe.mmap_super_safe(Map<Integer,MatrixCell> MMAPS, int maxorder, String method)	Safely combines multiple MMAPs into a single superposed MMAP while considering order constraints.
static MatrixCell	Mmap_timereverse.mmap_timereverse(MatrixCell mmap)	Computes the time-reversed version of a Markovian Arrival Process with marked arrivals (MMAP).
static MatrixCell	Mmpp_rand.mmpp_rand()	Generates a random Markov Modulated Poisson Process (MMPP) with 2 states.
static MatrixCell	Mmpp_rand.mmpp_rand(int K)	Generates a random Markov Modulated Poisson Process (MMPP) with K states.
static MatrixCell	Mmpp2_fit.mmpp2_fit(double E1, double E2, double E3, double G2)	Fits a 2-phase Markovian Arrival Process (MMPP2) to match the given first three moments and a fourth parameter G2.
static MatrixCell	Mmpp2_fit1.mmpp2_fit1(double mean, double scv, double skew, double idc)	Fits a 2-phase Markov Modulated Poisson Process (MMPP2) based on the specified parameters.
static MatrixCell	Qbd_depproc_etaqa.qbd_depproc_etaqa(MatrixCell MAPa, MatrixCell MAPs, int n)	Compute MAP departure process for MAP/MAP/1-FCFS via ETAQA truncation.
static MatrixCell	Qbd_depproc_etaqa_ps.qbd_depproc_etaqa_ps(MatrixCell MAPa, MatrixCell MAPs, int n)	Compute MAP departure process for MAP/MAP/1-PS via ETAQA truncation.

Methods in jline.api.mam that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma.amap2_fit_gamma(double M1, double M2, double M3, double GAMMA)	Finds an AMAP(2) fitting the given characteristics.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma.amap2_fit_gamma(double M1, double M2, double M3, double GAMMA)	Finds an AMAP(2) fitting the given characteristics.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_map.amap2_fit_gamma_map(MatrixCell map)	Performs approximate fitting of a given MAP, yielding a second-order AMAP in canonical form.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_map.amap2_fit_gamma_map(MatrixCell map)	Performs approximate fitting of a given MAP, yielding a second-order AMAP in canonical form.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_trace.amap2_fit_gamma_trace(double[] T)	Performs approximate fitting of a given trace, yielding a second-order AMAP in canonical form.
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_trace.amap2_fit_gamma_trace(double[] T)	Performs approximate fitting of a given trace, yielding a second-order AMAP in canonical form.
static List<MatrixCell>	Amap2_fit_gamma.amap2_fitall_gamma(double M1, double M2, double M3, double GAMMA)	Finds all AMAP(2) solutions for given moments and correlation.
static Map<Integer,MatrixCell>	Aph2_fitall.aph2_fitall(double M1, double M2, double M3)	Fits a set of acyclic phase-type (APH) distributions with two phases (APH(2)) to match the given moments.
static kotlin.Triple<Matrix,Matrix,MatrixCell>	Map2ph.map2ph(MatrixCell MAP)	Converts a MAP to a Phase-Type (PH) distribution.
static kotlin.Pair<MatrixCell,Matrix>	Maph2m_fit.maph2m_fit_multiclass(MatrixCell aph, Matrix P, Matrix B)	Fits MAPH(2,m) for multiple classes given underlying APH(2), class probabilities, and backward moments.
static Map<Integer,MatrixCell>	Mmap_maps.mmap_maps(MatrixCell MMAP)	Extracts K Markovian Arrival Processes (MAPs) from a given MMAP, one for each class.
static Pair<MatrixCell,double[]>	Mmap_mixture_order2.mmap_mixture_order2_optimal(List<MatrixCell> mmaps, double[] targetCharacteristics)	Creates a second-order MMAP mixture with automatic weight selection.
static Map<Integer,Map<Integer,MatrixCell>>	Ph_reindex.ph_reindex(NetworkStruct sn)	Reindexes phase-type (PH) distributions for a network model based on station and job class indices.

Methods in jline.api.mam with parameters of type MatrixCell

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	Amap2_fit_gamma_map.amap2_fit_gamma_map(MatrixCell map)	Performs approximate fitting of a given MAP, yielding a second-order AMAP in canonical form.
static Ret.mamAPH2Fit	Aph2_fit_map.aph2_fit_map(MatrixCell map)	Performs approximate fitting of a MAP, yielding a second-order APH in canonical form.
static BmapSample[]	Map_sample.bmap_sample(MatrixCell bmap, long n, Random random)	Generates samples from a BMAP (Batch Markovian Arrival Process).
static double	Dmap_moment.dmap_moment(MatrixCell DMAP, int order)
static Matrix	Dmap_pie.dmap_pie(MatrixCell DMAP)
static double[]	Dmap_sample.dmap_sample(MatrixCell DMAP, long n, Random random)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_bs_multiclass(MatrixCell amap, Matrix P, Matrix B, Matrix S, Object options, double[] weights)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_fs_multiclass(MatrixCell amap, Matrix P, Matrix F, Matrix S, Object options, double[] weights)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_bs_mmap(MatrixCell mmap)
static MatrixCell	Mamap22_fit_multiclass.mamap22_fit_gamma_fs_mmap(MatrixCell mmap)
static Mamap2m_fit_fb_multiclass.FitResult	Mamap2m_fit_fb_multiclass.mamap2m_fit_fb_multiclass(MatrixCell map, double[] p, double[] F, double[] B)
static Mamap2m_fit_fb_multiclass.FitResult	Mamap2m_fit_fb_multiclass.mamap2m_fit_fb_multiclass(MatrixCell map, double[] p, double[] F, double[] B, double[] classWeights, double[] fbWeights)
static MatrixCell	Mamap2m_fit_gamma_fb_mmap.mamap2m_fit_gamma_fb_mmap(MatrixCell mmap)	Fits a second-order acyclic MMAP[m] to match the characteristics of the input MMAP.
static MatrixCell	Mamap2m_fit_mmap.mamap2m_fit_mmap(MatrixCell MMAP)
static MatrixCell	Mamap2m_fit_mmap.mamap2m_fit_mmap(MatrixCell MMAP, double[] fbsWeights)
static Matrix	Map_acf.map_acf(MatrixCell MAP)
static Matrix	Map_acf.map_acf(MatrixCell MAP, Matrix lags)
static double[]	Map_acfc.map_acfc(MatrixCell MAP, int[] lags, double u)	Computes the autocorrelation function coefficients (ACFC) for a MAP counting process using a MatrixCell.
static double	Map_ccdf_derivative.map_ccdf_derivative(MatrixCell MAP, int i)	Compute derivative at 0 of a MAP complementary CDF.
static Matrix	Map_cdf.map_cdf(MatrixCell MAP, Matrix points)	CDF of MAP inter-arrival times when MAP is a MatrixCell.
static boolean	Map_checkfeasible.map_checkfeasible(MatrixCell MAP, double TOL)	Check the feasibility of a MAP with detailed validation.
static double	Map_count_mean.map_count_mean(MatrixCell MAP, double t)	Computes the mean of the counting process over a specified interval length for a given MAP.
static double[]	Map_count_mean.map_count_mean(MatrixCell MAP, double[] t)	Computes the mean of the counting process over multiple specified interval lengths for a given MAP.
static double	Map_count_moment.map_count_moment(MatrixCell MAP, double t, int order)	Computes power moments of counts at resolution t for a Markovian Arrival Process (MAP).
static double[]	Map_count_moment.map_count_moment(MatrixCell MAP, double t, int[] orders)	Computes multiple power moments of counts at resolution t for a MAP.
static double	Map_count_var.map_count_var(MatrixCell MAP, double t)	Computes the variance of the counting process over a specified interval length for a given Markovian Arrival Process (MAP).
static double[]	Map_count_var.map_count_var(MatrixCell MAP, double[] t)	Computes the variance of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP).
static Matrix	Map_embedded.map_embedded(MatrixCell MAP)	Computes the embedded discrete-time Markov chain (DTMC) matrix of a MAP given as a MatrixCell.
static double	Map_gamma.map_gamma(MatrixCell MAP)
static double[]	Map_gamma2.map_gamma2(MatrixCell MAP)	Returns the largest non-unit eigenvalue (both real and imaginary parts) of the embedded Discrete-Time Markov Chain (DTMC) of a given Markovian Arrival Process (MAP).
static double	Map_idc.map_idc(MatrixCell MAP)	Computes the asymptotic index of dispersion (IDC) for a MAP stored in a MatrixCell that contains the MAP's transition matrices.
static Matrix	Map_infgen.map_infgen(MatrixCell MAP)	Computes the infinitesimal generator matrix (Q) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
static boolean	Map_isfeasible.map_isfeasible(MatrixCell MAP)	Checks if the provided MAP is feasible using a default tolerance.
static boolean	Map_isfeasible.map_isfeasible(MatrixCell MAP, double TOL)	Checks if the provided MAP is feasible based on the given tolerance.
static double	Map_joint.map_joint(MatrixCell MAP, int[] a, int[] i)	Computes the joint moments of a Markovian Arrival Process (MAP).
static double	Map_jointpdf_derivative.map_jointpdf_derivative(MatrixCell MAP, int[] iset)	Compute partial derivative at 0 of a MAP's joint PDF.
static double	Map_kurt.map_kurt(MatrixCell MAP)	Computes the kurtosis of the inter-arrival times in a Markovian Arrival Process (MAP).
static double	Map_lambda.map_lambda(MatrixCell MAP)	Computes the arrival rate (lambda) of a MAP using matrices stored in a MatrixCell.
static MatrixCell	Map_mark.map_mark(MatrixCell MAP, Matrix prob)	Creates a Marked Markovian Arrival Process (MMAP) by marking a given MAP with additional phases based on specified marking probabilities.
static MatrixCell	Map_max.map_max(MatrixCell A, MatrixCell B)	Computes the MAP that represents the maximum of two independent MAPs.
static double	Map_mean.map_mean(MatrixCell MAP)	Computes the mean inter-arrival time of a MAP using matrices stored in a MatrixCell.
static MatrixCell	Map_mixture.map_mixture(double[] alpha, MatrixCell[] MAPs)	Creates a probabilistic mixture of Markovian Arrival Processes (MAPs).
static double	Map_moment.map_moment(MatrixCell MAP, int order)	Computes the raw moments using a MatrixCell.
static MatrixCell	Map_normalize.map_normalize(MatrixCell MAP)	Sanitizes the (D0, D1) matrices of a MAP stored in a MatrixCell.
static double	Map_pdf.map_pdf(MatrixCell MAP, double t)
static double[]	Map_pdf.map_pdf(MatrixCell MAP, double[] tset)	Computes the PDF of a MAP at specified time points.
static Matrix	Map_pie.map_pie(MatrixCell MAP)	Computes the steady-state probability vector of the embedded DTMC of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
static Matrix	Map_piq.map_piq(MatrixCell MAP)	Computes the steady-state vector (pi) of the Continuous-Time Markov Chain (CTMC) underlying a Markovian Arrival Process (MAP).
static Matrix	Map_prob.map_prob(MatrixCell MAP)	Computes the equilibrium distribution of the underlying continuous-time Markov chain for a MAP.
static MatrixCell	Map_renewal.map_renewal(MatrixCell MAPIN)	Creates a renewal MAP by removing all correlations from the input MAP.
static double[]	Map_sample.map_sample(MatrixCell MAP, long n, Random random)	Generates samples of inter-arrival times from a MAP using a specified number of samples and a random generator.
static MatrixCell	Map_scale.map_scale(MatrixCell MAP, double newMean)	Rescales the mean inter-arrival time of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
static double	Map_scv.map_scv(MatrixCell MAP)	Computes the squared coefficient of variation (SCV) of the inter-arrival times of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
static double	Map_skew.map_skew(MatrixCell MAP)	Computes the skewness of the inter-arrival times for a MAP using a MatrixCell.
static MatrixCell	Map_stochcomp.map_stochcomp(MatrixCell MAP, int[] retainIdx)	Performs stochastic complementation on a MAP by eliminating specified states.
static MatrixCell	Map_sum.map_sum(MatrixCell MAP, int n)	Computes the Markovian Arrival Process (MAP) representing the sum of n identical MAPs.
static MatrixCell	Map_sumind.map_sumind(MatrixCell[] MAPs)	Computes the Markovian Arrival Process (MAP) representing the sum of `n` independent MAPs.
static MatrixCell	Map_super.map_super(MatrixCell MAPa, MatrixCell MAPb)	Creates a superposition of two Markovian Arrival Processes (MAPs) to form a new MAP.
static MatrixCell	Map_timereverse.map_timereverse(MatrixCell map)	Computes the time-reversed MAP of a given MAP.
static double	Map_var.map_var(MatrixCell MAP)	Computes the variance of the inter-arrival times for a MAP using a MatrixCell.
static double	Map_varcount.map_varcount(MatrixCell MAP, double t)
static Matrix	Map_varcount.map_varcount(MatrixCell MAP, Matrix t)
static kotlin.Triple<Matrix,Matrix,MatrixCell>	Map2ph.map2ph(MatrixCell MAP)	Converts a MAP to a Phase-Type (PH) distribution.
static MatrixCell	Maph2m_fit_mmap.maph2m_fit_mmap(MatrixCell mmap)	Fits an MMAP[m] with a second-order MAPH[m] that matches the class probabilities (always fitted exactly) and the backward moments.
static kotlin.Pair<MatrixCell,Matrix>	Maph2m_fit.maph2m_fit_multiclass(MatrixCell aph, Matrix P, Matrix B)	Fits MAPH(2,m) for multiple classes given underlying APH(2), class probabilities, and backward moments.
static double	Me_mean.me_mean(MatrixCell ME)	Computes the mean of a Matrix Exponential (ME) distribution using matrices stored in a MatrixCell.
static Matrix	Me_pie.me_pie(MatrixCell ME)	Computes the stationary initial probability for an ME/RAP distribution using matrices stored in a MatrixCell.
static double[]	Me_sample.me_sample(MatrixCell ME, long n, Random random)	Generates random samples from an ME distribution stored in a MatrixCell.
static double	Me_scv.me_scv(MatrixCell ME)	Computes the squared coefficient of variation (SCV) of an ME distribution using matrices stored in a MatrixCell.
static double	Me_var.me_var(MatrixCell ME)	Computes the variance of a Matrix Exponential (ME) distribution using a MatrixCell.
static Matrix	Mmap_backward_moment.mmap_backward_moment(MatrixCell MMAP, Matrix ORDERS)
static Matrix	Mmap_backward_moment.mmap_backward_moment(MatrixCell MMAP, Matrix ORDERS, int NORM)	Computes the backward moments of an MMAP for specified orders with normalization.
static Matrix	Mmap_count_idc.mmap_count_idc(MatrixCell MMAP, double t)	Computes the index of dispersion for counts (IDC) for a Markovian Arrival Process with marked arrivals (MMAP) over a time period.
static Matrix	Mmap_count_lambda.mmap_count_lambda(MatrixCell mmap)	Computes the arrival rate vector of the counting process for the given Marked MAP (MMAP).
static Matrix	Mmap_count_mcov.mmap_count_mcov(MatrixCell MMAP, double t)	Computes the count covariance between each pair of classes at a given time scale.
static Matrix	Mmap_count_mean.mmap_count_mean(MatrixCell MMAP, double t)	Computes the mean count vector of events of different types in a Markovian Arrival Process with marked arrivals (MMAP) over a time period.
static Matrix	Mmap_count_var.mmap_count_var(MatrixCell MMAP, double t)	Computes the variance of the count vector of events of different types in a MMAP over a time period.
static MatrixCell	Mmap_modulate.mmap_cross_modulate(MatrixCell mmap1, MatrixCell mmap2)	Cross-modulation between two MMAPs with default strength 0.5.
static MatrixCell	Mmap_modulate.mmap_cross_modulate(MatrixCell mmap1, MatrixCell mmap2, double crossModulationStrength)	Cross-modulation between two MMAPs.
static Matrix	Mmap_cross_moment.mmap_cross_moment(MatrixCell mmap, int k)	Computes the k-th cross-moment matrix for a given MMAP.
static Matrix	Mmap_embedded.mmap_embedded(MatrixCell mmap)	Computes the embedded chain of an MMAP.
static Matrix	Mmap_forward_moment.mmap_forward_moment(MatrixCell MMAP, Matrix ORDERS)
static Matrix	Mmap_forward_moment.mmap_forward_moment(MatrixCell MMAP, Matrix ORDERS, int NORM)	Computes the forward moments of an MMAP for specified orders with normalization.
static MatrixCell	Mmap_hide.mmap_hide(MatrixCell MMAP, Matrix types)	Hides specified types of arrivals in a Markovian Arrival Process with marked arrivals (MMAP).
static Matrix	Mmap_idc.mmap_idc(MatrixCell MMAP)	Computes the asymptotic index of dispersion for counts (IDC) for a Markovian Arrival Process with marked arrivals (MMAP).
static boolean	Mmap_isfeasible.mmap_isfeasible(MatrixCell MMAP)	Checks the feasibility of a Markovian Arrival Process with marked arrivals (MMAP).
static boolean	Mmap_issym.mmap_issym(MatrixCell mmap)
static boolean	Mmap_issym.mmap_issym(MatrixCell mmap, double tolerance)	Checks if an MMAP is symmetric.
static Matrix	Mmap_lambda.mmap_lambda(MatrixCell MMAP)	Alias for mmap_count_lambda.
static Map<Integer,MatrixCell>	Mmap_maps.mmap_maps(MatrixCell MMAP)	Extracts K Markovian Arrival Processes (MAPs) from a given MMAP, one for each class.
static MatrixCell	Mmap_mark.mmap_mark(MatrixCell MMAP, Matrix prob)	Converts a Markovian Arrival Process with marked arrivals (MMAP) into a new MMAP with redefined classes based on a given probability matrix.
static MatrixCell	Mmap_max.mmap_max(MatrixCell mmap1, MatrixCell mmap2)	Computes the element-wise maximum of two MMAPs.
static Ret.mamMMAPMixtureFit	Mmap_mixture_fit_mmap.mmap_mixture_fit_mmap(MatrixCell mmap)	Fits a mixture of Markovian Arrival Processes (MMAPs) to match the given moments.
static MatrixCell	Mmap_modulate.mmap_modulate(MatrixCell baseMmap, MatrixCell modulatingMmap)	Modulates an MMAP by another MMAP using the default modulation factor 1.0.
static MatrixCell	Mmap_modulate.mmap_modulate(MatrixCell baseMmap, MatrixCell modulatingMmap, double modulationFactor)	Modulates an MMAP by another MMAP, creating a compound arrival process.
static MatrixCell	Mmap_modulate.mmap_modulate_time_varying(MatrixCell baseMmap, kotlin.jvm.functions.Function1<Double,Double> modulationPattern)	Time-varying modulation with default time horizon (10.0) and number of steps (10).
static MatrixCell	Mmap_modulate.mmap_modulate_time_varying(MatrixCell baseMmap, kotlin.jvm.functions.Function1<Double,Double> modulationPattern, double timeHorizon, int numSteps)	Time-varying modulation of an MMAP.
static MatrixCell	Mmap_normalize.mmap_normalize(MatrixCell MMAP)	Normalizes a Markovian Arrival Process with marked arrivals (MMAP) to ensure feasibility.
static Matrix	Mmap_pc.mmap_pc(MatrixCell MMAP)	Computes the proportion of counts (PC) for each type in a Markovian Arrival Process with marked arrivals (MMAP).
static Matrix	Mmap_pie.mmap_pie(MatrixCell mmap)
static Ret.mamMMAPSample	Mmap_sample.mmap_sample(MatrixCell MMAP, long n)
static Ret.mamMMAPSample	Mmap_sample.mmap_sample(MatrixCell MMAP, long n, Random random)	Generates samples of inter-arrival times and event types from a MMAP.
static MatrixCell	Mmap_scale.mmap_scale(MatrixCell MMAP, Matrix M)	Overloaded function for backward compatibility.
static MatrixCell	Mmap_scale.mmap_scale(MatrixCell MMAP, Matrix M, int maxIter)	Changes the mean inter-arrival time of a Markovian Arrival Process with marked arrivals (MMAP).
static MatrixCell	Mmap_shorten.mmap_shorten(MatrixCell mmap)	Converts an MMAP representation from M3A format to BUTools format.
static Matrix	Mmap_sigma.mmap_sigma(MatrixCell MMAP)	Computes one-step class transition probabilities for a Marked Markovian Arrival Process (MMAP).
static Double[][][]	Mmap_sigma2.mmap_sigma2(MatrixCell mmap)	Computes two-step class transition probabilities for an MMAP.
static MatrixCell	Mmap_sigma2.mmap_sigma2_cell(MatrixCell mmap)	MatrixCell overload.
static MatrixCell	Mmap_sum.mmap_sum(MatrixCell mmap1, MatrixCell mmap2)	Computes the sum of two MMAPs, creating a superposition process.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa)	Combines a list of MMAPs into one superposed MMAP.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa, MatrixCell MMAPb)	Combines two MMAPs into one superposed MMAP using the default option.
static MatrixCell	Mmap_super.mmap_super(MatrixCell MMAPa, MatrixCell MMAPb, String opt)	Combines two MMAPs into one superposed MMAP.
static MatrixCell	Mmap_timereverse.mmap_timereverse(MatrixCell mmap)	Computes the time-reversed version of a Markovian Arrival Process with marked arrivals (MMAP).
static Qbd_bmapbmap1.QbdBmapResult	Qbd_bmapbmap1.qbd_bmapbmap1(MatrixCell MAPa, Matrix pbatcha, MatrixCell MAPs)	Set up QBD matrices for BMAP/BMAP/1 queue analysis.
static MatrixCell	Qbd_depproc_etaqa.qbd_depproc_etaqa(MatrixCell MAPa, MatrixCell MAPs, int n)	Compute MAP departure process for MAP/MAP/1-FCFS via ETAQA truncation.
static MatrixCell	Qbd_depproc_etaqa_ps.qbd_depproc_etaqa_ps(MatrixCell MAPa, MatrixCell MAPs, int n)	Compute MAP departure process for MAP/MAP/1-PS via ETAQA truncation.
static double[]	Qbd_depproc_jointmom.qbd_depproc_jointmom(MatrixCell MAPa, MatrixCell MAPs, Matrix iset)	Compute joint moments of consecutive inter-departure times.
static QbdMapMap1Result	Qbd_mapmap1.qbd_mapmap1(MatrixCell MAPa, MatrixCell MAPs)
static QbdMapMap1Result	Qbd_mapmap1.qbd_mapmap1(MatrixCell MAPa, MatrixCell MAPs, Double util)	Analyze MAP/MAP/1 queue using QBD methods.
static QbdRapRap1Result	Qbd_raprap1.qbd_raprap1(MatrixCell RAPa, MatrixCell RAPs)
static QbdRapRap1Result	Qbd_raprap1.qbd_raprap1(MatrixCell RAPa, MatrixCell RAPs, Double util)
static Qbd_rg.QbdRgResult	Qbd_rg.qbd_rg(MatrixCell MAPa, MatrixCell MAPs)
static Qbd_rg.QbdRgResult	Qbd_rg.qbd_rg(MatrixCell MAPa, MatrixCell MAPs, Double util)	Compute R and G matrices for MAP/MAP/1 queue using QBD approach.
static double[]	Rap_sample.rap_sample(MatrixCell RAP, long n, Random random)	Generates random samples from a Rational Arrival Process (RAP) distribution.

Method parameters in jline.api.mam with type arguments of type MatrixCell

Modifier and Type	Method	Description
static MatrixCell	Mmap_max.mmap_max_multiple(List<MatrixCell> mmaps)	Computes the element-wise maximum of multiple MMAPs.
static MatrixCell	Mmap_mixture.mmap_mixture(Matrix alpha, Map<Integer,MatrixCell> MAPs)	Creates a mixture of MMAPs using the given weights (alpha) and MAPs.
static MatrixCell	Mmap_mixture_order2.mmap_mixture_order2(List<MatrixCell> mmaps, double[] weights)	Creates a second-order MMAP mixture from a collection of MMAPs.
static Pair<MatrixCell,double[]>	Mmap_mixture_order2.mmap_mixture_order2_optimal(List<MatrixCell> mmaps, double[] targetCharacteristics)	Creates a second-order MMAP mixture with automatic weight selection.
static MatrixCell	Mmap_sum.mmap_sum_multiple(List<MatrixCell> mmaps)	Computes the sum of multiple MMAPs.
static MatrixCell	Mmap_sum.mmap_sum_selective(List<MatrixCell> mmaps, List<int[]> classSelections)	Selective sum - only sum specific classes from each MMAP.
static MatrixCell	Mmap_sum.mmap_sum_weighted(List<MatrixCell> mmaps, double[] weights)	Weighted sum of MMAPs with scaling factors.
static MatrixCell	Mmap_super_safe.mmap_super_safe(Map<Integer,MatrixCell> MMAPS, int maxorder)
static MatrixCell	Mmap_super_safe.mmap_super_safe(Map<Integer,MatrixCell> MMAPS, int maxorder, String method)	Safely combines multiple MMAPs into a single superposed MMAP while considering order constraints.

Constructors in jline.api.mam with parameters of type MatrixCell

Modifier	Constructor	Description
	FitResult(MatrixCell mmap, double[] fF, double[] fB)
	QbdMapMap1Result(double XN, double QN, double UN, Matrix pqueue, Matrix R, Matrix eta, Matrix G, Matrix A_1, Matrix A0, Matrix A1, Matrix U, MatrixCell MAPs)

Uses of MatrixCell in jline.api.mam.m3pp

Methods in jline.api.mam.m3pp that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	M3pp_rand.m3pp_rand(int order, int classes)
static MatrixCell	M3pp_rand.m3pp_rand(int order, int classes, Long seed)	Generates a random M3PP with specified order and number of classes.
static MatrixCell	M3pp_rand.m3pp_rand_targeted(int order, int classes)
static MatrixCell	M3pp_rand.m3pp_rand_targeted(int order, int classes, double targetRate, double targetSCV, Long seed)
static MatrixCell	M3pp2m_fitc.m3pp2m_fitc(double[] av, double[] btv, double[] binfv)	Simple wrapper function for m3pp2m_fitc
static MatrixCell	M3pp2m_fitc.m3pp2m_fitc_approx_ag_multiclass(double[] av, double[] btv, double[] binfv)
static MatrixCell	M3pp2m_fitc.m3pp2m_fitc_approx_ag_multiclass(double[] av, double[] btv, double[] binfv, double[] corrv)	Wrapper function for m3pp2m_fitc_approx_ag_multiclass
static MatrixCell	M3pp2m_interleave.m3pp2m_interleave(List<MatrixCell> m3pps)	Computes the interleaved MMAP obtained by multiple M3PP(2,m).

Methods in jline.api.mam.m3pp that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf, int[] mapping, boolean reorder)	Fits k second-order M3PP[m_j] and interleaves them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc.m3pp_interleave_fitc(double[] av, double[] btv, double[] binfv, double[][] acc, double[][] gtcc, double t, double tinf, int[] mapping, boolean reorder)	Fits k second-order M3PP[m_j] and interleaves them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf, boolean[][] mapping)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf, boolean[][] mapping)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf, boolean[][] mapping)	Interleaves k M3PP to fit a multi-class trace with m classes.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_trace.m3pp_interleave_fitc_trace(double[] interArrivalTimes, int[] classLabels, Double t, Double tinf, boolean[][] mapping)	Interleaves k M3PP to fit a multi-class trace with m classes.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc.m3pp_superpos_fitc(double[] av, double[] btv, double[] binfv, double m3tv, double t, double tinf)	Fits k second-order M3PP[m_j] and superposes them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc.m3pp_superpos_fitc(double[] av, double[] btv, double[] binfv, double m3tv, double t, double tinf)	Fits k second-order M3PP[m_j] and superposes them into a M3PP[m] of order k+1.
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_trace(double[] traceData, int[] classLabels, int numComponents, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp22_interleave_fitc.m3pp22_interleave_fitc(double[][] av, double[] btv, double[] binfv, double[] stv, double t)	Fits L pairs of classes into a single MMAP.
static Pair<MatrixCell,List<MatrixCell>>	M3pp22_interleave_fitc.m3pp22_interleave_fitc(double[][] av, double[] btv, double[] binfv, double[] stv, double t)	Fits L pairs of classes into a single MMAP.

Methods in jline.api.mam.m3pp with parameters of type MatrixCell

Modifier and Type	Method	Description
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_interleave_fitc_theoretical.m3pp_interleave_fitc_theoretical(MatrixCell mmap, double t, double tinf, boolean[][] mapping)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents)
static Pair<MatrixCell,List<MatrixCell>>	M3pp_superpos_fitc_theoretical.m3pp_superpos_fitc_theoretical(MatrixCell targetMmap, int numComponents, double t, double tinf)
static Matrix[]	M3pp2m_fitc_theoretical.m3pp2m_fitc_theoretical(MatrixCell mmap)
static Matrix[]	M3pp2m_fitc_theoretical.m3pp2m_fitc_theoretical(MatrixCell mmap, String method)
static Matrix[]	M3pp2m_fitc_theoretical.m3pp2m_fitc_theoretical(MatrixCell mmap, String method, double t)
static Matrix[]	M3pp2m_fitc_theoretical.m3pp2m_fitc_theoretical(MatrixCell mmap, String method, double t, double tinf)	Fits the theoretical characteristics of a MMAP(n,m) with a M3PP(2,m).

Method parameters in jline.api.mam.m3pp with type arguments of type MatrixCell

Modifier and Type	Method	Description
static MatrixCell	M3pp2m_interleave.m3pp2m_interleave(List<MatrixCell> m3pps)	Computes the interleaved MMAP obtained by multiple M3PP(2,m).

Uses of MatrixCell in jline.api.npfqn

Methods in jline.api.npfqn that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	Npfqn_traffic_merge.npfqn_traffic_merge(Map<Integer,MatrixCell> MMAPa, String config_merge_, String config_compress_)	Merges MMAP traffic flows with specified configurations.
static MatrixCell	Npfqn_traffic_merge_cs.npfqn_traffic_merge_cs(Map<Integer,MatrixCell> MMAPs, Matrix prob)
static MatrixCell	Npfqn_traffic_merge_cs.npfqn_traffic_merge_cs(Map<Integer,MatrixCell> MMAPs, Matrix prob, String config)	Merges MMAP traffic flows with class switching.

Methods in jline.api.npfqn that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static Map<Integer,MatrixCell>	Npfqn_traffic_split_cs.npfqn_traffic_split_cs(MatrixCell MMAP, Matrix P)	Splits MMAP traffic flows with class switching.

Methods in jline.api.npfqn with parameters of type MatrixCell

Modifier and Type	Method	Description
static Map<Integer,MatrixCell>	Npfqn_traffic_split_cs.npfqn_traffic_split_cs(MatrixCell MMAP, Matrix P)	Splits MMAP traffic flows with class switching.

Method parameters in jline.api.npfqn with type arguments of type MatrixCell

Modifier and Type	Method	Description
static MatrixCell	Npfqn_traffic_merge.npfqn_traffic_merge(Map<Integer,MatrixCell> MMAPa, String config_merge_, String config_compress_)	Merges MMAP traffic flows with specified configurations.
static MatrixCell	Npfqn_traffic_merge_cs.npfqn_traffic_merge_cs(Map<Integer,MatrixCell> MMAPs, Matrix prob)
static MatrixCell	Npfqn_traffic_merge_cs.npfqn_traffic_merge_cs(Map<Integer,MatrixCell> MMAPs, Matrix prob, String config)	Merges MMAP traffic flows with class switching.

Uses of MatrixCell in jline.api.pfqn.mva

Methods in jline.api.pfqn.mva with parameters of type MatrixCell

Modifier and Type	Method	Description
static Ret.LinearizerResult	Pfqn_conwayms.pfqn_conwayms_core(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, SchedStrategy[] type, double tol, int maxiter)
static Ret.pfqnEstimate	Pfqn_conwayms.pfqn_conwayms_estimate(int M, int R, Matrix N_1, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, Matrix W)
static Ret.LinearizerResult	Pfqn_conwayms.pfqn_conwayms_forwardmva(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, SchedStrategy[] type, MatrixCell Q_1, MatrixCell P_1, Matrix PB_1, Matrix T_1)

Uses of MatrixCell in jline.api.polling

Methods in jline.api.polling with parameters of type MatrixCell

Modifier and Type	Method	Description
static double[]	Polling_qsys_1limited.polling_qsys_1limited(MatrixCell[] arvMAPs, MatrixCell[] svcMAPs, MatrixCell[] switchMAPs)	Computes the exact mean waiting time solution for a polling system with open arrivals.
static double[]	Polling_qsys_exhaustive.polling_qsys_exhaustive(MatrixCell[] arvMAPs, MatrixCell[] svcMAPs, MatrixCell[] switchMAPs)	Computes mean waiting times for an exhaustive polling system.
static double[]	Polling_qsys_gated.polling_qsys_gated(MatrixCell[] arvMAPs, MatrixCell[] svcMAPs, MatrixCell[] switchMAPs)	Computes mean waiting times for a polling system with gated service discipline.

Uses of MatrixCell in jline.api.qsys

Methods in jline.api.qsys with parameters of type MatrixCell

Modifier and Type	Method	Description
static QsysMapDcResult	Qsys_mapd1.qsys_mapd1(MatrixCell arrival, double s)	Simplified MAP/D/1 analysis using MatrixCell input for arrival.
static QsysMapDcResult	Qsys_mapdc.qsys_mapdc(MatrixCell arrival, double s, int c)	Simplified MAP/D/c analysis using MatrixCell input for arrival.
static QsysMapPhResult	Qsys_mapg1.qsys_mapg1(MatrixCell arrival, double[] serviceMoments)	Analyzes a MAP/G/1 queue using MatrixCell input for arrival.
static QsysMapPhResult	Qsys_mapm1.qsys_mapm1(MatrixCell arrival, double mu)	Simplified MAP/M/1 analysis using MatrixCell input for arrival.
static QsysMapPhResult	Qsys_mapmap1.qsys_mapmap1(MatrixCell arrival, MatrixCell service)	Simplified MAP/MAP/1 analysis using MatrixCell inputs.
static QsysMapPhResult	Qsys_mapmc.qsys_mapmc(MatrixCell arrival, double mu, int c)
static QsysMapPhResult	Qsys_mapph1.qsys_mapph1(MatrixCell arrival, MatrixCell service)	Simplified MAP/PH/1 analysis using MatrixCell inputs.
static QsysMapPhResult	Qsys_phph1.qsys_phph1(MatrixCell arrival, MatrixCell service)	Simplified PH/PH/1 analysis using MatrixCell inputs.

Uses of MatrixCell in jline.io

Fields in jline.io declared as MatrixCell

Modifier and Type	Field	Description
MatrixCell	Ret.mamAPH2Fit.APH
MatrixCell	Ret.mamMAPFitReturn.MAP
MatrixCell	Ret.mamMMAPMixtureFit.MMAP
final MatrixCell	Ret.pfqnEstimate.P_1
MatrixCell	Ret.SpectralDecomposition.projectors
final MatrixCell	Ret.pfqnEstimate.Q_1

Fields in jline.io with type parameters of type MatrixCell

Modifier and Type	Field	Description
Map<Integer,MatrixCell>	Ret.mamAPH2Fit.APHS
Map<Integer[],MatrixCell>	Ret.mamMMAPMixtureFit.PHs

Constructors in jline.io with parameters of type MatrixCell

Modifier	Constructor	Description
	pfqnEstimate(MatrixCell Q_1, MatrixCell P_1, Matrix PB_1, Matrix T_1)
	SpectralDecomposition(Matrix s, MatrixCell p)

Uses of MatrixCell in jline.lang

Fields in jline.lang declared as MatrixCell

Modifier and Type	Field	Description
MatrixCell[]	Environment.holdTime
MatrixCell[][]	Environment.proc
MatrixCell	NetworkStruct.region
MatrixCell	NetworkStruct.regionLinConA
MatrixCell	NetworkStruct.regionLinConb

Fields in jline.lang with type parameters of type MatrixCell

Modifier and Type	Field	Description
Map<Station,Map<Integer,Map<Integer,MatrixCell>>>	NetworkStruct.heteroproc	Heterogeneous service process parameters per station, server type, and class.
Map<Station,Map<JobClass,MatrixCell>>	NetworkStruct.impatienceProc
Map<Station,Map<JobClass,MatrixCell>>	NetworkStruct.proc
Map<Station,Map<JobClass,MatrixCell>>	NetworkStruct.retrialProc

Uses of MatrixCell in jline.lang.layered

Fields in jline.lang.layered with type parameters of type MatrixCell

Modifier and Type	Field	Description
Map<Integer,MatrixCell>	LayeredNetworkStruct.actthink_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.arrival_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.callproc_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.delayofftime_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.hostdem_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.itemproc_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.setuptime_proc
Map<Integer,MatrixCell>	LayeredNetworkStruct.think_proc

Methods in jline.lang.layered with parameters of type MatrixCell

Modifier and Type	Method	Description
static Distribution	LayeredNetwork.reconstructDistribution(ProcessType type, Matrix params, Double mean, Double scv, MatrixCell proc)	Reconstruct a Distribution object from primitive parameters.

Uses of MatrixCell in jline.lang.nodeparam

Fields in jline.lang.nodeparam with type parameters of type MatrixCell

Modifier and Type	Field	Description
Map<Mode,MatrixCell>	TransitionNodeParam.firingproc

Uses of MatrixCell in jline.lang.processes

Fields in jline.lang.processes declared as MatrixCell

Modifier and Type	Field	Description
protected MatrixCell	MarkedMarkovProcess.eventFilt
protected MatrixCell	Markovian.process

Methods in jline.lang.processes that return MatrixCell

Modifier and Type	Method	Description
MatrixCell	MarkedMarkovProcess.embeddedSolve()	Solve for embedded probabilities for all events
MatrixCell	MarkedMarkovProcess.embeddedSolve(int[] evset)	Solve for embedded probabilities for specified event set
MatrixCell	MarkedMarkovProcess.getEventFilt()	Get the event filter matrices
MatrixCell	Bernoulli.getProcess()
MatrixCell	Binomial.getProcess()
abstract MatrixCell	ContinuousDistribution.getProcess()	Gets the process representation with actual distribution parameters.
MatrixCell	DiscreteUniform.getProcess()
MatrixCell	DMAP.getProcess()
MatrixCell	Gamma.getProcess()
MatrixCell	Geometric.getProcess()
MatrixCell	GMM.getProcess()
MatrixCell	Lognormal.getProcess()
MatrixCell	MAP.getProcess()
MatrixCell	MarkedMMPP.getProcess()	Returns the process representation as a MatrixCell.
MatrixCell	Markovian.getProcess()	Gets the matrix representation of this Markovian process.
MatrixCell	ME.getProcess()
MatrixCell	MMDP.getProcess()
MatrixCell	MultivariateNormal.getProcess()	Gets the process representation with actual distribution parameters.
MatrixCell	Normal.getProcess()
MatrixCell	Pareto.getProcess()
MatrixCell	PH.getProcess()
MatrixCell	Poisson.getProcess()
MatrixCell	RAP.getProcess()
MatrixCell	Uniform.getProcess()
MatrixCell	Weibull.getProcess()
MatrixCell	Zipf.getProcess()
MatrixCell	MAP.getRenewalProcess()
MatrixCell	Det.getRepresentation()	Gets the process representation with actual distribution parameters.
MatrixCell	Gamma.process()	Kotlin-style property alias for getProcess()
MatrixCell	Lognormal.process()	Kotlin-style property alias for getProcess()
MatrixCell	Markovian.process()	Kotlin-style property alias for getProcess()
MatrixCell	Pareto.process()	Kotlin-style property alias for getProcess()
MatrixCell	PH.process()	Kotlin-style property alias for getProcess()
MatrixCell	Uniform.process()	Kotlin-style property alias for getProcess()
MatrixCell	Weibull.process()	Kotlin-style property alias for getProcess()

Methods in jline.lang.processes with parameters of type MatrixCell

Modifier and Type	Method	Description
void	Markovian.setProcess(MatrixCell D)	Sets the matrix representation of this Markovian process.

Constructors in jline.lang.processes with parameters of type MatrixCell

Modifier	Constructor	Description
	BMAP(MatrixCell bmap)	Construct a BMAP from a MatrixCell containing {D0, D1, D2, ..., Dk}
	DMAP(MatrixCell map)
	MAP(MatrixCell map)
	MarkedMAP(MatrixCell mmap)
	MarkedMarkovProcess(Matrix infGen, MatrixCell eventFilt, List<Map<String,Object>> evs)	Creates a MarkedCTMC with the specified generator, event filters, and events
	MarkedMarkovProcess(Matrix infGen, MatrixCell eventFilt, List<Map<String,Object>> evs, boolean isFinite)	Creates a MarkedCTMC with the specified generator, event filters, events, and finite flag
	MarkedMarkovProcess(Matrix infGen, MatrixCell eventFilt, List<Map<String,Object>> evs, boolean isFinite, Matrix stateSpace)	Creates a MarkedCTMC with the specified generator, event filters, events, finite flag, and state space
	MarkedMMPP(MatrixCell mmap)
	MMAP(MatrixCell mmap)	Construct an MMAP from a MatrixCell containing {D0, D1, D2, ..., Dk}

Uses of MatrixCell in jline.lib.butools

Methods in jline.lib.butools with parameters of type MatrixCell

Modifier and Type	Method	Description
static Map<String,Map<Integer,Matrix>>	MMAPPH1FCFS.MMAPPH1FCFS(MatrixCell D, Map<Integer,Matrix> sigma, Map<Integer,Matrix> S, Integer numOfQLMoms, Integer numOfQLProbs, Integer numOfSTMoms, Matrix stDistr, boolean stDistrME, boolean stDistrPH, Double prec, Matrix classes_)
static Map<String,Map<Integer,Matrix>>	MMAPPH1NPPR.MMAPPH1NPPR(MatrixCell D, MatrixCell sigma, MatrixCell S, Integer numOfQLMoms, Integer numOfQLProbs, Integer numOfSTMoms, Matrix stCdfPoints, Double prec, Integer erlMaxOrder_, Matrix classes_)
static Map<String,Map<Integer,Matrix>>	MMAPPH1PRPR.MMAPPH1PRPR(MatrixCell D, MatrixCell sigma, MatrixCell S, Integer numOfQLMoms, Integer numOfQLProbs, Integer numOfSTMoms, Matrix stCdfPoints, Double prec, Integer erlMaxOrder_, Matrix classes_)
static Map<String,Map<Integer,Matrix>>	MMAPPH1FCFS.solve(MatrixCell D, Map<Integer,Matrix> sigma, Map<Integer,Matrix> S, Integer numOfQLMoms, Integer numOfQLProbs, Integer numOfSTMoms, Matrix stDistr, boolean stDistrME, boolean stDistrPH, Double prec, Matrix classes_)	Convenience alias for callers that expect a solve(...) entry point on the MMAPPH1FCFS class.

Uses of MatrixCell in jline.lib.butools.dmap

Methods in jline.lib.butools.dmap that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(Matrix[] H)
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(Matrix[] H, double prec)
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(MatrixCell H)
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(MatrixCell H, double prec)	Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.
static MatrixCell	DMRAPFromMoments.dmrapFromMoments(double[] moms, Matrix[] Nm)
static MatrixCell	DMRAPFromMoments.dmrapFromMoments(double[] moms, MatrixCell Nm)	Creates a discrete marked rational arrival process that has the same marginal and lag-1 joint moments as given.
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(Matrix[] D)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(Matrix[] D, int K)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(Matrix[] D, int K, int L)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(Matrix[] D, int K, int L, double prec)	Overload for Matrix[].
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K, int L)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K, int L, double prec)	Returns the lag-L joint moments of a discrete marked Markovian arrival process.
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(Matrix[] H)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(Matrix[] H, int K)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(Matrix[] H, int K, int L)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(Matrix[] H, int K, int L, double prec)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K, int L)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K, int L, double prec)	Returns the lag-L joint moments of a discrete marked rational arrival process.
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types)
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types, double mean)
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types, double mean, int zeroEntries)
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types, double mean, int zeroEntries, int maxTrials)
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types, double mean, int zeroEntries, int maxTrials, double prec)
static MatrixCell	RandomDMMAP.randomDMMAP(int order, int types, double mean, int zeroEntries, int maxTrials, double prec, Random random)	Returns a random discrete marked Markovian arrival process.

Methods in jline.lib.butools.dmap with parameters of type MatrixCell

Modifier and Type	Method	Description
static boolean	CheckDMMAPRepresentation.checkDMMAPRepresentation(MatrixCell D)
static boolean	CheckDMMAPRepresentation.checkDMMAPRepresentation(MatrixCell D, double prec)	Checks if the input matrices define a discrete time MMAP.
static boolean	CheckDMRAPRepresentation.checkDMRAPRepresentation(MatrixCell H)
static boolean	CheckDMRAPRepresentation.checkDMRAPRepresentation(MatrixCell H, double prec)	Checks if the input matrices define a discrete time MRAP.
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(MatrixCell H)
static MatrixCell	DMMAPFromDMRAP.dmmapFromDMRAP(MatrixCell H, double prec)	Obtains a Markovian representation of a discrete rational arrival process of the same size, if possible.
static MatrixCell	DMRAPFromMoments.dmrapFromMoments(double[] moms, MatrixCell Nm)	Creates a discrete marked rational arrival process that has the same marginal and lag-1 joint moments as given.
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K, int L)
static MatrixCell	LagkJointMomentsFromDMMAP.lagkJointMomentsFromDMMAP(MatrixCell D, int K, int L, double prec)	Returns the lag-L joint moments of a discrete marked Markovian arrival process.
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K, int L)
static MatrixCell	LagkJointMomentsFromDMRAP.lagkJointMomentsFromDMRAP(MatrixCell H, int K, int L, double prec)	Returns the lag-L joint moments of a discrete marked rational arrival process.
static MGFromMoments.MGRepresentation	MarginalDistributionFromDMMAP.marginalDistributionFromDMMAP(MatrixCell D)
static MGFromMoments.MGRepresentation	MarginalDistributionFromDMMAP.marginalDistributionFromDMMAP(MatrixCell D, double prec)	Returns the discrete phase type distributed marginal distribution of a discrete marked Markovian arrival process.
static MGFromMoments.MGRepresentation	MarginalDistributionFromDMRAP.marginalDistributionFromDMRAP(MatrixCell H)
static MGFromMoments.MGRepresentation	MarginalDistributionFromDMRAP.marginalDistributionFromDMRAP(MatrixCell H, double prec)	Returns the matrix geometrically distributed marginal distribution of a discrete marked rational arrival process.
static double[]	MarginalMomentsFromDMMAP.marginalMomentsFromDMMAP(MatrixCell D)
static double[]	MarginalMomentsFromDMMAP.marginalMomentsFromDMMAP(MatrixCell D, int K)
static double[]	MarginalMomentsFromDMMAP.marginalMomentsFromDMMAP(MatrixCell D, int K, double prec)	Returns the moments of the marginal distribution of a discrete marked Markovian arrival process.
static double[]	MarginalMomentsFromDMRAP.marginalMomentsFromDMRAP(MatrixCell H)
static double[]	MarginalMomentsFromDMRAP.marginalMomentsFromDMRAP(MatrixCell H, int K)
static double[]	MarginalMomentsFromDMRAP.marginalMomentsFromDMRAP(MatrixCell H, int K, double prec)	Returns the moments of the marginal distribution of a discrete marked rational arrival process.
static Object	SamplesFromDMMAP.samplesFromDMMAP(MatrixCell D, int K)
static Object	SamplesFromDMMAP.samplesFromDMMAP(MatrixCell D, int K, Integer initial)
static Object	SamplesFromDMMAP.samplesFromDMMAP(MatrixCell D, int K, Integer initial, double prec)
static Object	SamplesFromDMMAP.samplesFromDMMAP(MatrixCell D, int K, Integer initial, double prec, Random random)	Generates random samples from a discrete marked Markovian arrival process.

Uses of MatrixCell in jline.lib.butools.map

Methods in jline.lib.butools.map that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(Matrix[] D)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(Matrix[] D, int K)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(Matrix[] D, int K, int L)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(Matrix[] D, int K, int L, double prec)	Overload for Matrix[].
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K, int L)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K, int L, double prec)	Returns the lag-L joint moments of a continuous marked Markovian arrival process.
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(Matrix[] H, int K, int L, double prec)	Overload for Matrix[].
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K, int L)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K, int L, double prec)	Returns the lag-L joint moments of a continuous marked rational arrival process.
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(Matrix[] H, String how, double precision)	Overload for Matrix[].
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H)
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H, String how)
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H, String how, double precision)	Returns the minimal representation of a marked rational arrival process.
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(Matrix[] H)
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(Matrix[] H, double prec)	Overload for Matrix[].
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(MatrixCell H)
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(MatrixCell H, double prec)	Obtains a Markovian representation of a continuous marked rational arrival process of the same size, if possible.
static MatrixCell	MRAPFromMoments.mrapFromMoments(double[] moms, Matrix[] Nm)	Overload for Matrix[].
static MatrixCell	MRAPFromMoments.mrapFromMoments(double[] moms, MatrixCell Nm)	Creates a continuous marked rational arrival process that has the same marginal and lag-1 joint moments as given.
static MatrixCell	RandomMMAP.randomMMAP(int order, int types)
static MatrixCell	RandomMMAP.randomMMAP(int order, int types, double mean)
static MatrixCell	RandomMMAP.randomMMAP(int order, int types, double mean, int zeroEntries)
static MatrixCell	RandomMMAP.randomMMAP(int order, int types, double mean, int zeroEntries, int maxTrials, double prec, Random random)	Returns a random continuous marked Markovian arrival process.

Methods in jline.lib.butools.map with parameters of type MatrixCell

Modifier and Type	Method	Description
static boolean	CheckMMAPRepresentation.checkMMAPRepresentation(MatrixCell D)
static boolean	CheckMMAPRepresentation.checkMMAPRepresentation(MatrixCell D, double prec)	Checks if the input matrices define a continuous time MMAP.
static boolean	CheckMRAPRepresentation.checkMRAPRepresentation(MatrixCell H)
static boolean	CheckMRAPRepresentation.checkMRAPRepresentation(MatrixCell H, double prec)	Checks if the input matrices define a continuous time MRAP.
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K, int L)
static MatrixCell	LagkJointMomentsFromMMAP.lagkJointMomentsFromMMAP(MatrixCell D, int K, int L, double prec)	Returns the lag-L joint moments of a continuous marked Markovian arrival process.
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K, int L)
static MatrixCell	LagkJointMomentsFromMRAP.lagkJointMomentsFromMRAP(MatrixCell H, int K, int L, double prec)	Returns the lag-L joint moments of a continuous marked rational arrival process.
static PHRepresentation	MarginalDistributionFromMMAP.marginalDistributionFromMMAP(MatrixCell D)
static PHRepresentation	MarginalDistributionFromMMAP.marginalDistributionFromMMAP(MatrixCell D, double prec)	Returns the phase type distributed marginal distribution of a continuous marked Markovian arrival process.
static PHRepresentation	MarginalDistributionFromMRAP.marginalDistributionFromMRAP(MatrixCell H)
static PHRepresentation	MarginalDistributionFromMRAP.marginalDistributionFromMRAP(MatrixCell H, double prec)	Returns the phase type distributed marginal distribution of a continuous marked rational arrival process.
static double[]	MarginalMomentsFromMMAP.marginalMomentsFromMMAP(MatrixCell D)
static double[]	MarginalMomentsFromMMAP.marginalMomentsFromMMAP(MatrixCell D, int K)
static double[]	MarginalMomentsFromMMAP.marginalMomentsFromMMAP(MatrixCell D, int K, double prec)	Returns the moments of the marginal distribution of a continuous marked Markovian arrival process.
static double[]	MarginalMomentsFromMRAP.marginalMomentsFromMRAP(MatrixCell H)
static double[]	MarginalMomentsFromMRAP.marginalMomentsFromMRAP(MatrixCell H, int K)
static double[]	MarginalMomentsFromMRAP.marginalMomentsFromMRAP(MatrixCell H, int K, double prec)	Returns the moments of the marginal distribution of a continuous marked rational arrival process.
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H)
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H, String how)
static MatrixCell	MinimalRepFromMRAP.minimalRepFromMRAP(MatrixCell H, String how, double precision)	Returns the minimal representation of a marked rational arrival process.
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(MatrixCell H)
static MatrixCell	MMAPFromMRAP.mmapFromMRAP(MatrixCell H, double prec)	Obtains a Markovian representation of a continuous marked rational arrival process of the same size, if possible.
static MatrixCell	MRAPFromMoments.mrapFromMoments(double[] moms, MatrixCell Nm)	Creates a continuous marked rational arrival process that has the same marginal and lag-1 joint moments as given.
static Object	SamplesFromMMAP.samplesFromMMAP(MatrixCell D, int K)
static Object	SamplesFromMMAP.samplesFromMMAP(MatrixCell D, int K, Integer initial)
static Object	SamplesFromMMAP.samplesFromMMAP(MatrixCell D, int K, Integer initial, double prec)
static Object	SamplesFromMMAP.samplesFromMMAP(MatrixCell D, int K, Integer initial, double prec, Random random)	Generates random samples from a continuous marked Markovian arrival process.

Uses of MatrixCell in jline.lib.kpctoolbox

Methods in jline.lib.kpctoolbox that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	MMPP2.fit(Matrix moments)
static MatrixCell	MMPP2.fit(Matrix moments, double acf1)
static MatrixCell	MMPP2.fit1(Matrix moments)
static MatrixCell	MMPP2.fit2(Matrix moments, double acf1)
static MatrixCell	MMPP2.fit3(Matrix moments, double acf1, double acf2)

Uses of MatrixCell in jline.lib.kpctoolbox.aph

Methods in jline.lib.kpctoolbox.aph that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	APH.aph_rand()
static MatrixCell	APH.aph_rand(int K)

Methods in jline.lib.kpctoolbox.aph that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static Pair<MatrixCell,Boolean>	APH.aph_fit(double e1, double e2, double e3)
static Pair<MatrixCell,Boolean>	APH.aph_fit(double e1, double e2, double e3, int nmax)

Methods in jline.lib.kpctoolbox.aph with parameters of type MatrixCell

Modifier and Type	Method	Description
static Pair<double[],double[]>	APH.ph2hyper(MatrixCell PH)

Uses of MatrixCell in jline.lib.kpctoolbox.erchmm

Fields in jline.lib.kpctoolbox.erchmm declared as MatrixCell

Modifier and Type	Field	Description
final MatrixCell	ERCHMMFitResult.MAP

Methods in jline.lib.kpctoolbox.erchmm that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	ERCHMM.erchmm_emfit_simple(double[] trace, int[] orders)
static MatrixCell	ERCHMM.erchmm_emfit_simple(double[] trace, int[] orders, int iterMax, double iterTol)
MatrixCell	ERCHMMFitResult.getMAP()

Constructors in jline.lib.kpctoolbox.erchmm with parameters of type MatrixCell

Modifier	Constructor	Description
	ERCHMMFitResult(MatrixCell MAP, double logLikelihood, int[] orders)

Uses of MatrixCell in jline.lib.kpctoolbox.kpcfit

Fields in jline.lib.kpctoolbox.kpcfit declared as MatrixCell

Modifier and Type	Field	Description
final MatrixCell	KPCFit.ComposeResult.map
final MatrixCell	KPCFit.KPCFitResult.MAP

Fields in jline.lib.kpctoolbox.kpcfit with type parameters of type MatrixCell

Modifier and Type	Field	Description
final List<MatrixCell>	KPCFit.KPCFitResult.otherMAPs
final List<MatrixCell>	KPCFit.ComposeResult.subMAPs
final List<MatrixCell>	KPCFit.KPCFitResult.subMAPs

Methods in jline.lib.kpctoolbox.kpcfit that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	KPCFit.kpcfit_ph_prony(double[] E, int n)

Methods in jline.lib.kpctoolbox.kpcfit that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static List<MatrixCell>	KPCFit.kpcfit_ph_exact(double[] E, KPCFit.KPCFitPhOptions options)

Constructors in jline.lib.kpctoolbox.kpcfit with parameters of type MatrixCell

Modifier	Constructor	Description
	ComposeResult(MatrixCell map, List<MatrixCell> subMAPs, int errorCode)
	KPCFitResult(MatrixCell MAP, double fac, double fbc, List<MatrixCell> subMAPs, List<MatrixCell> otherMAPs, double[] otherFACs, double[] otherFBCs)

Constructor parameters in jline.lib.kpctoolbox.kpcfit with type arguments of type MatrixCell

Modifier	Constructor	Description
	ComposeResult(MatrixCell map, List<MatrixCell> subMAPs, int errorCode)
	KPCFitResult(MatrixCell MAP, double fac, double fbc, List<MatrixCell> subMAPs, List<MatrixCell> otherMAPs, double[] otherFACs, double[] otherFBCs)

Uses of MatrixCell in jline.lib.kpctoolbox.mmpp

Methods in jline.lib.kpctoolbox.mmpp that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	MMPP.mmpp_rand()
static MatrixCell	MMPP.mmpp_rand(int K)
static MatrixCell	MMPP.mmpp2_fit1(double mean, double scv, double skew, double idc)
static MatrixCell	MMPP.mmpp2_fit2(double mean, double scv, double skew, double g2)
static MatrixCell	MMPP.mmpp2_fit3(double E1, double E2, double E3, double G2)
static MatrixCell	MMPP.mmpp2_fit4(double mean, double scv, double skew, double acf1)
static MatrixCell	MMPP.mmpp2_fitc(double mu, double bt1, double bt2, double binf, double m3t2, double t1, double t2)
static MatrixCell	MMPP.mmpp2_fitc_approx(double a, double bt1, double bt2, double binf, double m3t2, double t1, double t2)
static MatrixCell	MMPP.mmpp2_fitc_theoretical(MatrixCell MAP)
static MatrixCell	MMPP.mmpp2_fitc_theoretical(MatrixCell MAP, double t1, double t2, double tinf)

Methods in jline.lib.kpctoolbox.mmpp with parameters of type MatrixCell

Modifier and Type	Method	Description
static MatrixCell	MMPP.mmpp2_fitc_theoretical(MatrixCell MAP)
static MatrixCell	MMPP.mmpp2_fitc_theoretical(MatrixCell MAP, double t1, double t2, double tinf)

Uses of MatrixCell in jline.lib.kpctoolbox.smp

Methods in jline.lib.kpctoolbox.smp that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	DET.det_sum(MatrixCell DET1, MatrixCell DET2)

Methods in jline.lib.kpctoolbox.smp with parameters of type MatrixCell

Modifier and Type	Method	Description
static double[]	DET.det_acf(MatrixCell DET, int[] kset)
static Matrix	DET.det_embedded(MatrixCell DET)
static double[]	DET.det_moment(MatrixCell DET, int[] kset)
static DET.Triple<double[],int[],int[]>	DET.det_sample(MatrixCell DET, int nSamples)
static DET.Triple<double[],int[],int[]>	DET.det_sample(MatrixCell DET, int nSamples, Integer initState)
static double	DET.det_scv(MatrixCell DET)
static MatrixCell	DET.det_sum(MatrixCell DET1, MatrixCell DET2)

Uses of MatrixCell in jline.lib.m3a

Methods in jline.lib.m3a that return MatrixCell

Modifier and Type	Method	Description
static MatrixCell	M3A.compressCoxian(MatrixCell MMAP)
static MatrixCell	M3A.compressCoxian(MatrixCell MMAP, int order)	Compresses an MMAP using the M3A Coxian approximation method.
static MatrixCell	M3A.compressErlang(MatrixCell MMAP)
static MatrixCell	M3A.compressErlang(MatrixCell MMAP, int maxOrder)	Compresses an MMAP using the M3A Erlang approximation method.
static MatrixCell	M3A.compressHyperExponential(MatrixCell MMAP)
static MatrixCell	M3A.compressHyperExponential(MatrixCell MMAP, int order)	Compresses an MMAP using the M3A hyper-exponential approximation method.
static MatrixCell	M3A.compressMinimal(MatrixCell MMAP)
static MatrixCell	M3A.compressMinimal(MatrixCell MMAP, double tolerance)	Compresses an MMAP using the M3A minimal representation method.
static MatrixCell	M3A.compressPhaseType(MatrixCell MMAP)
static MatrixCell	M3A.compressPhaseType(MatrixCell MMAP, int numPhases)	Compresses an MMAP using the M3A phase-type approximation method.
static MatrixCell	M3aFit.m3afit_auto(double[] S, int[] C, int numStates)
static MatrixCell	M3aFit.m3afit_auto(double[] S, int[] C, int numStates, int method)	Automatic fitting with simple parameters.
static MatrixCell	M3aFit.m3afit_auto(MTrace mtrace, M3aFitOptions options)	Automatic fitting of trace into a Marked Markovian Arrival Process.
static MatrixCell	M3aCompress.m3afit_compress(MatrixCell mmap)
static MatrixCell	M3aCompress.m3afit_compress(MatrixCell mmap, M3aCompressOptions options)	Compresses a Marked Markovian Arrival Process (MMAP) using M3A fitting.

Methods in jline.lib.m3a with parameters of type MatrixCell

Modifier and Type	Method	Description
static MatrixCell	M3A.compressCoxian(MatrixCell MMAP)
static MatrixCell	M3A.compressCoxian(MatrixCell MMAP, int order)	Compresses an MMAP using the M3A Coxian approximation method.
static MatrixCell	M3A.compressErlang(MatrixCell MMAP)
static MatrixCell	M3A.compressErlang(MatrixCell MMAP, int maxOrder)	Compresses an MMAP using the M3A Erlang approximation method.
static MatrixCell	M3A.compressHyperExponential(MatrixCell MMAP)
static MatrixCell	M3A.compressHyperExponential(MatrixCell MMAP, int order)	Compresses an MMAP using the M3A hyper-exponential approximation method.
static MatrixCell	M3A.compressMinimal(MatrixCell MMAP)
static MatrixCell	M3A.compressMinimal(MatrixCell MMAP, double tolerance)	Compresses an MMAP using the M3A minimal representation method.
static MatrixCell	M3A.compressPhaseType(MatrixCell MMAP)
static MatrixCell	M3A.compressPhaseType(MatrixCell MMAP, int numPhases)	Compresses an MMAP using the M3A phase-type approximation method.
static Double[]	M3aUtils.computeAutocorrelation(MatrixCell MMAP, int maxLag)	Computes the autocorrelation function of an MMAP up to the specified lag.
static double	M3aUtils.computeCoeffVar(MatrixCell MMAP)	Computes the coefficient of variation of an MMAP.
static double	M3aUtils.computeIDC(MatrixCell MMAP, double timeWindow)	Computes the index of dispersion for counts (IDC) of an MMAP.
static double	M3aUtils.computeKLDivergence(MatrixCell MMAP1, MatrixCell MMAP2)
static double	M3aUtils.computeKLDivergence(MatrixCell MMAP1, MatrixCell MMAP2, int numSamples)
static double	M3aUtils.computeKLDivergence(MatrixCell MMAP1, MatrixCell MMAP2, int numSamples, int seed)	Computes the Kullback-Leibler divergence between two MMAPs.
static Double[]	M3aUtils.computeMoments(MatrixCell MMAP, int n)	Computes the first n moments of an MMAP.
static double	M3aUtils.computeSpectralGap(MatrixCell MMAP)	Computes the spectral gap of an MMAP generator matrix.
static MatrixCell	M3aCompress.m3afit_compress(MatrixCell mmap)
static MatrixCell	M3aCompress.m3afit_compress(MatrixCell mmap, M3aCompressOptions options)	Compresses a Marked Markovian Arrival Process (MMAP) using M3A fitting.
static boolean	M3aUtils.validateMMAP(MatrixCell MMAP)	Validates that a matrix represents a valid MMAP.

Uses of MatrixCell in jline.solvers.ctmc

Fields in jline.solvers.ctmc declared as MatrixCell

Modifier and Type	Field	Description
MatrixCell	CTMCResult.eventFilt
MatrixCell	SolverCTMC.generatorResult.eventFilt
MatrixCell	SolverCTMC.AnalyzerResult.EventFiltration
MatrixCell	SolverCTMC.TransientResult.EventFiltration
MatrixCell	SolverCTMC.StateSpace.localStateSpace

Methods in jline.solvers.ctmc that return MatrixCell

Modifier and Type	Method	Description
MatrixCell	ResultCTMC.getDfilt()

Methods in jline.solvers.ctmc with parameters of type MatrixCell

Modifier and Type	Method	Description
static void	SolverCTMC.printEventFilt(MatrixCell eventFilt, Matrix SS)

Constructors in jline.solvers.ctmc with parameters of type MatrixCell

Modifier	Constructor	Description
	AnalyzerResult(Matrix QN, Matrix UN, Matrix RN, Matrix TN, Matrix CN, Matrix XN, Matrix InfGen, Matrix StateSpace, Matrix StateSpaceAggr, MatrixCell EventFiltration, double runtime, String fname, NetworkStruct sncopy)
	generatorResult(Matrix infGen, MatrixCell eventFilt, Map<Integer,Sync> ev)
	ResultCTMC(Matrix q, Matrix stateSpace, Matrix stateSpaceAggr, MatrixCell dfilt, double[][][] arvRates, double[][][] depRates, NetworkStruct sn)
	StateSpace(Matrix stateSpace, MatrixCell localStateSpace)
	TransientResult(Matrix t, Matrix pit, Matrix QNt, Matrix UNt, Matrix RNt, Matrix TNt, Matrix CNt, Matrix XNt, Matrix InfGen, Matrix StateSpace, Matrix StateSpaceAggr, MatrixCell EventFiltration, double runtime, String fname)

Uses of MatrixCell in jline.solvers.env

Fields in jline.solvers.env declared as MatrixCell

Modifier and Type	Field	Description
MatrixCell[]	SolverENV.EnvGeneratorResult.stageEventFilt

Methods in jline.solvers.env with parameters of type MatrixCell

Modifier and Type	Method	Description
static jline.solvers.env.SolverENV.Compression_result	SolverENV.ctmc_courtois(Matrix Q, MatrixCell MS)
static jline.solvers.env.SolverENV.Compression_result	SolverENV.ctmc_courtois(Matrix Q, MatrixCell MS, double q)
static jline.solvers.env.SolverENV.Compression_result	SolverENV.ctmc_decompose(Matrix Q, MatrixCell MS, SolverOptions options)	Perform CTMC decomposition using the configured method.

Constructors in jline.solvers.env with parameters of type MatrixCell

Modifier	Constructor	Description
	EnvGeneratorResult(Matrix[] stageInfGen, Matrix renvInfGen, MatrixCell[] stageEventFilt, Matrix[][] renvEventFilt, Map<Integer,Sync>[] stageEvents, List<RenvEvent> renvEvents)

Uses of MatrixCell in jline.solvers.mam.handlers

Methods in jline.solvers.mam.handlers that return types with arguments of type MatrixCell

Modifier and Type	Method	Description
static Map<Integer,MatrixCell>	Solver_mam_passage_time.solver_mam_passage_time(NetworkStruct sn, Map<Station,Map<JobClass,MatrixCell>> PH, SolverOptions options)
static Map<Integer,MatrixCell>	Solver_mam_traffic.solver_mam_traffic(NetworkStruct sn, Map<Integer,Map<Integer,MatrixCell>> DEP, SolverOptions.Config config)

Method parameters in jline.solvers.mam.handlers with type arguments of type MatrixCell

Modifier and Type	Method	Description
static Map<Integer,MatrixCell>	Solver_mam_passage_time.solver_mam_passage_time(NetworkStruct sn, Map<Station,Map<JobClass,MatrixCell>> PH, SolverOptions options)
static Map<Integer,MatrixCell>	Solver_mam_traffic.solver_mam_traffic(NetworkStruct sn, Map<Integer,Map<Integer,MatrixCell>> DEP, SolverOptions.Config config)

Uses of MatrixCell in jline.util

Fields in jline.util declared as MatrixCell

Modifier and Type	Field	Description
MatrixCell	PopulationLattice.sprodResult.D

Methods in jline.util with parameters of type MatrixCell

Modifier and Type	Method	Description
static PopulationLattice.sprodResult	PopulationLattice.sprod(Matrix s, Matrix S, MatrixCell D)

Constructors in jline.util with parameters of type MatrixCell

Modifier	Constructor	Description
	sprodResult(Matrix s, Matrix n, Matrix S, MatrixCell D)

Uses of MatrixCell in jline.util.matrix

Constructors in jline.util.matrix with parameters of type MatrixCell

Modifier	Constructor	Description
	MatrixCell(MatrixCell x)	Creates a deep copy of another MatrixCell.