C-index

A B C D E F G H I J K L M N O P Q R S T U V W X Z

C

CACHE - enum entry in jline.io.ModelVisualizer.NodeType
Cache - enum entry in jline.lang.constant.NodeType: Cache node - implements cache replacement with hit/miss routing
Cache - class in jline.lang.nodes: A cache node that implements cache replacement policies and class switching based on cache hits and misses.
Cache.PopularityKey - class in jline.lang.nodes.Cache: A key class for storing popularity distributions in a 2D coordinate system.
cache_compare_replc() - function in jline.examples.java.basic.CacheExamples
cache_compare_replc() - function in jline.examples.java.basic.CacheModel: Cache model with Zipf access pattern and Round Robin replacement.
cache_erec(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_erecKt: Computes the cache miss rate using an exact recursive method.
cache_erec_aux(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.cache.Cache_erecKt: Auxiliary method for computing the cache miss rate using an exact recursive method.
Cache_erecKt - class in jline.api.cache
cache_gamma(jline.util.matrix.MatrixCell,jline.util.matrix.MatrixCell) - function in jline.api.cache.Cache_gammaKt: Computes access factors for the cache.
cache_gamma_lp(kotlin.Array,kotlin.Array) - function in jline.api.cache.Cache_gamma_lpKt: Computes access factors for the cache.
Cache_gamma_lpKt - class in jline.api.cache
Cache_gammaKt - class in jline.api.cache
cache_is(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.cache.Cache_isKt: Estimate the normalizing constant of the cache steady state distribution using Monte Carlo importance sampling.
Cache_isKt - class in jline.api.cache
cache_miss(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_missKt
cache_miss_asy(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Double) - function in jline.api.cache.Cache_miss_asyKt: Compute cache miss rates using asymptotic approximation (Fixed Point Iteration method) This is a Java/Kotlin implementation of the cache_miss_asy algorithm
Cache_miss_asyKt - class in jline.api.cache
cache_miss_fpi(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell) - function in jline.api.cache.Cache_miss_fpiKt
Cache_miss_fpiKt - class in jline.api.cache
cache_miss_is(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.api.cache.Cache_miss_isKt: Computes cache miss rates using Monte Carlo importance sampling.
Cache_miss_isKt - class in jline.api.cache
cache_miss_rayint(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell) - function in jline.api.cache.Cache_miss_rayintKt: Estimates the cache miss rate and related metrics using the ray method for PDEs.
Cache_miss_rayintKt - class in jline.api.cache
cache_miss_spm(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.MatrixCell) - function in jline.api.cache.Cache_miss_spmKt: Estimates the cache miss rate and related metrics using the SPM method for PDEs.
Cache_miss_spmKt - class in jline.api.cache
Cache_missKt - class in jline.api.cache
cache_mva(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_mvaKt: Exact recursive solution of the caching model.
cache_mva_miss(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_mva_missKt: Compute cache miss probabilities using Mean Value Analysis approach
Cache_mva_missKt - class in jline.api.cache
Cache_mvaKt - class in jline.api.cache
cache_par(jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.cache.Cache_gamma_lpKt: Finds the parent of a given list index according to the access probabilities in an access probability matrix.
cache_prob_erec(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_prob_erecKt: Computes the cache state probabilities using an exact recursive method.
Cache_prob_erecKt - class in jline.api.cache
cache_prob_fpi(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_prob_fpiKt: Estimate asymptotic values of the cache state probabilities at steady-state.
Cache_prob_fpiKt - class in jline.api.cache
cache_prob_is(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.api.cache.Cache_prob_isKt: Computes cache hit probabilities using Monte Carlo importance sampling.
Cache_prob_isKt - class in jline.api.cache
cache_prob_rayint(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_prob_rayintKt: Computes the cache state probabilities using the ray method.
Cache_prob_rayintKt - class in jline.api.cache
cache_prob_spm(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_prob_spmKt: Computes the cache state probabilities using the ray method.
Cache_prob_spmKt - class in jline.api.cache
cache_rayint(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_rayintKt: Approximate the normalizing constant of the cache steady state distribution using the ray method.
Cache_rayintKt - class in jline.api.cache
cache_replc_fifo() - function in jline.examples.java.basic.CacheExamples
cache_replc_fifo() - function in jline.examples.java.basic.CacheModel: Closed cache model with feedback from hits and misses.
cache_replc_lru() - function in jline.examples.java.basic.CacheModel: Closed cache model with LRU replacement strategy.
cache_replc_routing() - function in jline.examples.java.basic.CacheExamples
cache_replc_routing() - function in jline.examples.java.basic.CacheModel: Cache model with multiple delay nodes and random routing.
cache_replc_rr() - function in jline.examples.java.basic.CacheExamples
cache_replc_rr() - function in jline.examples.java.basic.CacheModel: Basic open cache model with Round Robin (RR) replacement strategy.
cache_rrm_meanfield_ode(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer) - function in jline.api.cache.Cache_rrm_meanfield_odeKt: ODE system for RRM (Random Replacement Model) mean field equationsComputes the time derivative of state probabilities for the mean field approximation of a random replacement cache system with multiple levels.
Cache_rrm_meanfield_odeKt - class in jline.api.cache
cache_spm(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_spmKt: Approximate the normalizing constant of the cache steady state distribution using the SPM method.
Cache_spmKt - class in jline.api.cache
cache_t_hlru(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_t_hlruKt: Computes the characteristic time of each list in the TTL approximation of h-LRU.
cache_t_hlru_aux(kotlin.DoubleArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer) - function in jline.api.cache.Cache_t_hlruKt: Auxiliary function for cache_t_hlru inner optimization.
Cache_t_hlruKt - class in jline.api.cache
cache_t_lrum(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_t_lrumKt: Computes the characteristic time of each list in the TTL approximation of LRU(m).
cache_t_lrum_aux(kotlin.DoubleArray,jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer,java.lang.Integer) - function in jline.api.cache.Cache_t_lrumKt: Auxiliary function for cache_t_lrum inner optimization.
cache_t_lrum_map(kotlin.Array,kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_t_lrum_mapKt: APIs for stochastic models of caches
Cache_t_lrum_mapKt - class in jline.api.cache
Cache_t_lrumKt - class in jline.api.cache
cache_ttl_hlru(kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_ttl_hlruKt: Solve hierarchical least-recently-used caches h-LRU using the TTL approximation.
Cache_ttl_hlruKt - class in jline.api.cache
cache_ttl_lrua(kotlin.Array,kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_ttl_lruaKt: Solve arbitrary replacement policy caches LRU(A) using the TTL tree approximation.
Cache_ttl_lruaKt - class in jline.api.cache
cache_ttl_lrum(kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_ttl_lrumKt: Solve multi-list least-recently-used caches LRU(m) using the TTL approximation.
cache_ttl_lrum_map(kotlin.Array,kotlin.Array,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_ttl_lrum_mapKt
Cache_ttl_lrum_mapKt - class in jline.api.cache
Cache_ttl_lrumKt - class in jline.api.cache
cache_ttl_tree(kotlin.Array,kotlin.Array,jline.util.matrix.Matrix,java.lang.Long) - function in jline.api.cache.Cache_ttl_treeKt: Solves tree-based TTL (Time-To-Live) cache models using analytical approximation.
Cache_ttl_treeKt - class in jline.api.cache
cache_xi_bvh(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_xi_bvhKt: Computes the cache xi terms using the iterative method used in Gast-van Houdt, SIGMETRICS 2015.
Cache_xi_bvhKt - class in jline.api.cache
cache_xi_fp(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_xi_fpKt: Estimate cache xi terms using a fixed-point algorithm.
Cache_xi_fpKt - class in jline.api.cache
cache_xi_iter(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.cache.Cache_xi_iterKt: Computes the cache xi terms using the iterative method used in Gast-van Houdt, SIGMETRICS 2015.
Cache_xi_iterKt - class in jline.api.cache
CacheAccess(java.lang.String,java.util.List) - function in jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a cache access relationship.
CacheAccess(jline.lang.layered.Activity,java.util.List) - function in jline.lang.layered.ActivityPrecedence: Creates an ActivityPrecedence object representing a cache access relationship.
CacheClassSwitcher - class in jline.lang.sections: A class switcher section recording cache hits and misses
CacheClassSwitcher.InputJobClassesObj - class in jline.lang.sections.CacheClassSwitcher
CacheErecAlgo - class in jline.api.cache: Cache erec algorithms
CacheExamples - class in jline.examples.java.basic
CacheGammaAlgo - class in jline.api.cache: Cache gamma algorithms
CacheGammaLpAlgo - class in jline.api.cache: Cache gamma lp algorithms
CacheIsAlgo - class in jline.api.cache: Cache importance sampling algorithms
CacheMissAlgo - class in jline.api.cache: Cache miss algorithms
CacheMissAsyAlgo - class in jline.api.cache: Cache miss asy algorithms
CacheMissFpiAlgo - class in jline.api.cache: Cache miss fpi algorithms
CacheMissFpiResult - class in jline.api.cache: Compute cache miss rates using Fixed Point Iteration (FPI) method
CacheMissIsAlgo - class in jline.api.cache: Cache miss importance sampling algorithms
CacheMissRayintAlgo - class in jline.api.cache: Cache miss rayint algorithms
CacheMissResult - class in jline.api.cache: Compute cache miss rates and probabilities
CacheModel - class in jline.examples.java.basic: Examples of caching models
CacheMvaAlgo - class in jline.api.cache: Cache mva algorithms
CacheMvaMissAlgo - class in jline.api.cache: Cache mva miss algorithms
CacheNodeParam - class in jline.lang.nodeparam: Parameter container for cache nodes in queueing networks.
CacheProbErecAlgo - class in jline.api.cache: Cache prob erec algorithms
CacheProbFpiAlgo - class in jline.api.cache: Cache prob fpi algorithms
CacheProbIsAlgo - class in jline.api.cache: Cache probability importance sampling algorithms
CacheProbRayintAlgo - class in jline.api.cache: Cache prob rayint algorithms
CacheRayintAlgo - class in jline.api.cache: Cache rayint algorithms
CacheRrmMeanfieldOdeAlgo - class in jline.api.cache: Cache rrm meanfield ode algorithms
CacheTask - class in jline.lang.layered: A task that offers caching services
CacheTHlruAlgo - class in jline.api.cache: Cache t hlru algorithms
CacheTLrumAlgo - class in jline.api.cache: Cache t lrum algorithms
CacheTLrumMapAlgo - class in jline.api.cache: Cache t lrum map algorithms
CacheTtlHlruAlgo - class in jline.api.cache: Cache ttl hlru algorithms
CacheTtlLruaAlgo - class in jline.api.cache: Cache ttl lrua algorithms
CacheTtlLrumAlgo - class in jline.api.cache: Cache ttl lrum algorithms
CacheTtlLrumMapAlgo - class in jline.api.cache: Cache ttl lrum map algorithms
CacheTtlTreeAlgo - class in jline.api.cache: Cache ttl tree algorithms
CacheXiFpAlgo - class in jline.api.cache: Cache xi fp algorithms
CacheXiIterAlgo - class in jline.api.cache: Cache xi iter algorithms
calculateBranchDiversity(jline.api.wf.Wf_branch_detector.BranchPattern) - function in jline.api.wf.Wf_branch_detector: Calculate branch diversity metrics.
callPython(java.lang.String) - function in jline.util.PythonCaller: Execute a Python script and return its output
CallType - class in jline.lang.constant: Constants for defining calls in LayeredNetwork models
canonicalFromDMAP2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dmap.CanonicalFromDMAP2Kt: Returns the canonical form of an order-2 discrete Markovian arrival process.
CanonicalFromDMAP2Kt - class in jline.lib.butools.dmap
canonicalFromDPH2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CanonicalFromDPH2Kt: Returns the canonical form of an order-2 discrete phase-type distribution.
canonicalFromDPH2(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CanonicalFromDPH2Kt: Overload for DoubleArray alpha.
CanonicalFromDPH2Kt - class in jline.lib.butools.dph
canonicalFromDPH3(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CanonicalFromDPH3Kt: Returns the canonical form of an order-3 discrete phase-type distribution.
canonicalFromDPH3(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CanonicalFromDPH3Kt: Overload for DoubleArray alpha.
CanonicalFromDPH3Kt - class in jline.lib.butools.dph
canonicalFromMAP2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.map.CanonicalFromMAP2Kt: Returns the canonical form of an order-2 Markovian arrival process.
CanonicalFromMAP2Kt - class in jline.lib.butools.map
canonicalFromPH2(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CanonicalFromPH2Kt: Returns the canonical form of an order-2 phase-type distribution.
canonicalFromPH2(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CanonicalFromPH2Kt: Overload for DoubleArray alpha.
CanonicalFromPH2Kt - class in jline.lib.butools.ph
canonicalFromPH3(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CanonicalFromPH3Kt: Returns the canonical form of an order-3 phase-type distribution.
canonicalFromPH3(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CanonicalFromPH3Kt: Overload for DoubleArray alpha.
CanonicalFromPH3Kt - class in jline.lib.butools.ph
cartesian(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Cartesian product of two matrices.
CATASTROPHE - enum entry in jline.lang.constant.SignalType
CD - enum entry in jline.lang.constant.ServiceStrategy
cdf_respt_closed() - function in jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for a closed network (cdf_respt_closed.ipynb).
cdf_respt_closed() - function in jline.examples.java.advanced.CDFRespTModel: Closed network with single customer for response time CDF analysis (matches MATLAB cdf_respt_closed.m).
cdf_respt_closed_threeclasses() - function in jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for a closed network with three classes (cdf_respt_closed_threeclasses.ipynb).
cdf_respt_closed_threeclasses() - function in jline.examples.java.advanced.CDFRespTModel: Closed network with three classes and class switching (matches MATLAB cdf_respt_closed_threeclasses.m).
cdf_respt_distrib() - function in jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times with non-exponential distributions (cdf_respt_distrib.ipynb).
cdf_respt_distrib() - function in jline.examples.java.advanced.CDFRespTModel: Closed network with different service distributions (matches MATLAB cdf_respt_distrib.m).
cdf_respt_open_twoclasses() - function in jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for an open network with two classes (cdf_respt_open_twoclasses.ipynb).
cdf_respt_open_twoclasses() - function in jline.examples.java.advanced.CDFRespTModel: Open network with two classes (matches MATLAB cdf_respt_open_twoclasses.m).
cdf_respt_populations() - function in jline.examples.java.advanced.CDFRespTExamples: Demonstrates CDF of response times for different population sizes (cdf_respt_populations.ipynb).
cdf_respt_populations() - function in jline.examples.java.advanced.CDFRespTModel: Closed network with 10 jobs for response time CDF (matches JSON definition).
cdf_respt_populationsN1() - function in jline.examples.java.advanced.CDFRespTModel: Closed networks with varying populations (matches MATLAB cdf_respt_populations.m).
cdf_respt_populationsN4() - function in jline.examples.java.advanced.CDFRespTModel
cdf_respt_populationsN8() - function in jline.examples.java.advanced.CDFRespTModel
cdfFromDPH(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.dph.CdfFromDPHKt: Overload for single integer x.
cdfFromDPH(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.lib.butools.dph.CdfFromDPHKt: Returns the cumulative distribution function of a discrete phase-type distribution.
cdfFromDPH(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.dph.CdfFromDPHKt: Overload for DoubleArray alpha and single integer x.
cdfFromDPH(kotlin.DoubleArray,jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.lib.butools.dph.CdfFromDPHKt: Overload for DoubleArray alpha.
CdfFromDPHKt - class in jline.lib.butools.dph
cdfFromME(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.butools.ph.CdfFromMEKt: Returns the cumulative distribution function of a matrix-exponential distribution.
cdfFromME(kotlin.DoubleArray,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.butools.ph.CdfFromMEKt: Overload for DoubleArray alpha.
CdfFromMEKt - class in jline.lib.butools.ph
cdfFromMG(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.dph.CdfFromMGKt: Overload for single integer x.
cdfFromMG(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.lib.butools.dph.CdfFromMGKt: Returns the cumulative distribution function of a matrix-geometric distribution.
cdfFromMG(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.butools.dph.CdfFromMGKt: Overload for DoubleArray alpha and single integer x.
cdfFromMG(kotlin.DoubleArray,jline.util.matrix.Matrix,kotlin.IntArray) - function in jline.lib.butools.dph.CdfFromMGKt: Overload for DoubleArray alpha.
CdfFromMGKt - class in jline.lib.butools.dph
cdfFromPH(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.butools.ph.CdfFromMEKt: Returns the cumulative distribution function of a phase-type distribution.
cdfFromPH(kotlin.DoubleArray,jline.util.matrix.Matrix,kotlin.DoubleArray) - function in jline.lib.butools.ph.CdfFromMEKt: Overload for DoubleArray alpha.
cdfFromTrace(kotlin.DoubleArray) - function in jline.lib.butools.trace.CdfFromTraceKt: Returns the empirical distribution function of the trace.
CdfFromTraceKt - class in jline.lib.butools.trace
cdfFromWeightedTrace(kotlin.DoubleArray,kotlin.DoubleArray) - function in jline.lib.butools.trace.CdfFromTraceKt: Returns the empirical distribution function of a weighted trace.
cdfPassT() - function in jline.solvers.NetworkSolver
cdfPassT() - function in jline.solvers.NetworkSolver
cdfPassT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
cdfPassT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
cdfPassT() - function in jline.solvers.auto.SolverAUTO: Alias for getCdfPassT()
cdfPassT() - function in jline.solvers.auto.SolverAUTO: Alias for getCdfPassT()
cdfRespT() - function in jline.solvers.NetworkSolver
cdfRespT() - function in jline.solvers.NetworkSolver
cdfRespT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
cdfRespT(jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver
cdfRespT() - function in jline.solvers.auto.SolverAUTO: Alias for getCdfRespT()
cdfRespT() - function in jline.solvers.auto.SolverAUTO: Alias for getCdfRespT()
CDFRespTExamples - class in jline.examples.java.advanced: Examples demonstrating CDF (Cumulative Distribution Function) of response times.
CDFRespTModel - class in jline.examples.java.advanced: Examples of response time distribution analysis.
CdfResult - class in jline.lib.butools.trace: Result class for CdfFromTrace containing x and y arrays.
ceil() - function in jline.util.matrix.Matrix: Returns a new matrix where each element is the ceiling of the corresponding element in this matrix.
ceilEq() - function in jline.util.matrix.Matrix: Applies the ceiling operation in-place to each element of this matrix.
cell2mat(java.util.Map) - function in jline.util.matrix.Matrix: Concatenates a collection of matrices stored in a map into a single row vector.
cellsum(java.util.Map) - function in jline.util.matrix.Matrix: Computes the element-wise sum of all matrices stored in a map.
cellsum() - function in jline.util.matrix.MatrixCell: Computes the element-wise sum of all matrices in this cell.
cellsum(int,int) - function in jline.util.matrix.MatrixCell: Computes the sum of elements at a specific position across all matrices in the cell.
Chain - class in jline.lang: A class modelling a set of reachable classes for a given job (a chain)
chainAvgT() - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable().
chainAvgT() - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable().
chainAvgT(boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(boolean keepDisabled).
chainAvgT(boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(boolean keepDisabled).
chainAvgT(jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
chainAvgT(jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A).
chainAvgT(jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
chainAvgT(jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,jline.solvers.AvgHandle,boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled).
chainAvgT(jline.solvers.SolverAvgHandles) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles).
chainAvgT(jline.solvers.SolverAvgHandles) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles).
chainAvgT(jline.solvers.SolverAvgHandles,boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
chainAvgT(jline.solvers.SolverAvgHandles,boolean) - function in jline.solvers.NetworkSolver: Alias for getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled).
changeSign() - function in jline.util.matrix.BaseMatrix
changeSign() - function in jline.util.matrix.DenseMatrix
changeSign() - function in jline.util.matrix.Matrix: Negates all values in the matrix, in-place.
changeSign() - function in jline.util.matrix.SparseMatrix
changeSignStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix
changeSignStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
checkDMAPRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dmap.CheckDMAPRepresentationKt: Checks if the input matrices define a discrete time MAP.
CheckDMAPRepresentationKt - class in jline.lib.butools.dmap
checkDMMAPRepresentation(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.lib.butools.dmap.CheckDMMAPRepresentationKt: Checks if the input matrices define a discrete time MMAP.
checkDMMAPRepresentation(kotlin.Array,java.lang.Double) - function in jline.lib.butools.dmap.CheckDMMAPRepresentationKt: Overload for Array<Matrix>.
CheckDMMAPRepresentationKt - class in jline.lib.butools.dmap
checkDMRAPRepresentation(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.lib.butools.dmap.CheckDMRAPRepresentationKt: Checks if the input matrices define a discrete time MRAP.
checkDMRAPRepresentation(kotlin.Array,java.lang.Double) - function in jline.lib.butools.dmap.CheckDMRAPRepresentationKt: Overload for Array<Matrix>.
CheckDMRAPRepresentationKt - class in jline.lib.butools.dmap
checkDPHRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CheckDPHRepresentationKt: Checks if the given vector and matrix define a valid discrete phase-type representation.
checkDPHRepresentation(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CheckDPHRepresentationKt: Overload for DoubleArray alpha.
CheckDPHRepresentationKt - class in jline.lib.butools.dph
checkDRAPRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dmap.CheckDRAPRepresentationKt: Checks if the input matrices define a discrete time RAP.
CheckDRAPRepresentationKt - class in jline.lib.butools.dmap
checkGenerator(jline.util.matrix.Matrix,java.lang.Boolean,java.lang.Double) - function in jline.lib.butools.mc.CheckGeneratorKt: Checks if the matrix is a valid generator matrix: the matrix is a square matrix, the matrix has positive or zero off-diagonal elements, the diagonal of the matrix is negative, the rowsum of the matrix is 0.
CheckGeneratorKt - class in jline.lib.butools.mc
checkMAPRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.map.CheckMAPRepresentationKt: Checks if the input matrices define a continuous time MAP.
CheckMAPRepresentationKt - class in jline.lib.butools.map
checkMERepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CheckMERepresentationKt: Checks if the given vector and matrix define a valid matrix- exponential representation.
checkMERepresentation(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CheckMERepresentationKt: Overload for DoubleArray alpha.
CheckMERepresentationKt - class in jline.lib.butools.ph
checkMGRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CheckMGRepresentationKt: Checks if the given vector and matrix define a valid matrix-geometric representation.
checkMGRepresentation(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.dph.CheckMGRepresentationKt: Overload for DoubleArray alpha.
CheckMGRepresentationKt - class in jline.lib.butools.dph
checkMoments(jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.CheckMomentsKt: Checks if the given moment sequence is valid in the sense that it belongs to a distribution with support (0,inf).
CheckMomentsKt - class in jline.lib.butools
checkPHRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CheckPHRepresentationKt: Checks if the given vector and matrix define a valid phase- type representation.
checkPHRepresentation(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CheckPHRepresentationKt: Overload for DoubleArray alpha.
CheckPHRepresentationKt - class in jline.lib.butools.ph
checkProbMatrix(jline.util.matrix.Matrix,java.lang.Boolean,java.lang.Double) - function in jline.lib.butools.mc.CheckProbMatrixKt: Checks if the matrix is a valid probability matrix: the matrix is a square matrix, the matrix has positive or zero elements, the rowsum of the matrix is 1.
CheckProbMatrixKt - class in jline.lib.butools.mc
checkProbVector(jline.util.matrix.Matrix,java.lang.Boolean,java.lang.Double) - function in jline.lib.butools.mc.CheckProbVectorKt: Checks if the vector is a valid probability vector: the vector has only non-negative elements, the sum of the vector elements is 1.
checkProbVector(kotlin.DoubleArray,java.lang.Boolean,java.lang.Double) - function in jline.lib.butools.mc.CheckProbVectorKt: Overload for DoubleArray input.
CheckProbVectorKt - class in jline.lib.butools.mc
checkRAPRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.map.CheckMAPRepresentationKt: Checks if the input matrices define a valid RAP representation.
checkRAPRepresentation(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.ph.CheckRAPRepresentationKt: Checks if the given matrices define a valid Rational Arrival Process (RAP) representation.
CheckRAPRepresentationKt - class in jline.lib.butools.ph
circul(int) - function in jline.util.Maths: Returns a circulant matrix of order c.
circul(jline.util.matrix.Matrix) - function in jline.util.Maths: Returns a circulant matrix from the given first column.
CLASSSWITCH - enum entry in jline.io.ModelVisualizer.NodeType
ClassSwitch - enum entry in jline.lang.constant.NodeType: Class switch node - changes job class based on probabilities
ClassSwitch - class in jline.lang.nodes: A node that switches the class of an incoming job based on a probability table
ClassSwitcher - class in jline.lang.sections: A job class switcher based on a static probability table
ClassSwitchExamples - class in jline.examples.java.basic: Class switching examples mirroring the Kotlin notebooks in classSwitching.
ClassSwitchingModel - class in jline.examples.java.basic: Examples of models with class switching
ClassSwitchMatrix - class in jline.lang: Matrix representation for job class switching probabilities in queueing networks.
clear() - function in jline.bench.cqn.CQNResultsFormatter.CQNResultsAccumulator
clear() - function in jline.bench.mqn.MQNResultsFormatter.MQNResultsAccumulator
clear() - function in jline.bench.oqn.OQNResultsFormatter.OQNResultsAccumulator
clearBackgroundImage(edu.uci.ics.jung.visualization.VisualizationViewer) - function in jline.io.ModelVisualizer: Clears the background image from the visualization viewer.
clearCaches() - function in jline.lang.Network
clearHeaders() - function in org.java_websocket.client.WebSocketClient
clearRewardResult() - function in jline.solvers.ctmc.SolverCTMC: Clear cached reward results to force recomputation.
clearRewardResult() - function in jline.solvers.ctmc.SolverCTMC: Clear cached reward results to force recomputation.
clearRewards() - function in jline.lang.Network: Remove all defined reward functions.
clearState() - function in jline.lang.nodes.StatefulNode
clearState() - function in jline.lang.nodes.StatefulNode
close() - function in org.java_websocket.client.WebSocketClient
closeBlocking() - function in org.java_websocket.client.WebSocketClient
closeConnection(int,java.lang.String) - function in org.java_websocket.client.WebSocketClient
CLOSED - enum entry in jline.lang.constant.JobClassType: Closed class - fixed population of jobs circulating in the network
ClosedClass - class in jline.lang: Class where jobs perpetually loop without arriving or leaving (Closed class)
ClosedExamples - class in jline.examples.java.basic: Closed queueing network examples mirroring the Kotlin notebooks in closedQN.
ClosedModel - class in jline.examples.java.basic: Examples of closed queueing networks
closedNetwork() - function in jline.examples.java.advanced.AgentModel: Creates a closed network with two PS queues.
ClosedSignal - class in jline.lang: A closed signal class for modeling signals in closed queueing networks.
ClosingAndStateDepMethodsAnalyzer - class in jline.solvers.fluid.analyzers
ClosingAndStateDepMethodsODE - class in jline.solvers.fluid.handlers
CMAESObjectiveFunction - class in jline.solvers.fluid.handlers
cme - class in jline.lib.lti
colIncrease(int,double) - function in jline.util.matrix.BaseMatrix: Adds a scalar value to each element in the specified column.
colIncrease(int,double) - function in jline.util.matrix.DenseMatrix: Adds a scalar value to each element in the specified column.
colIncrease(int,double) - function in jline.util.matrix.Matrix
colIncrease(int,double) - function in jline.util.matrix.SparseMatrix: Adds a scalar value to each element in the specified column.
Collector - class in jline.streaming: Collects and aggregates metrics from SSA simulation for streaming to line-est.
colon() - function in jline.util.matrix.Matrix: Returns the matrix in column-major order.
columnMajorOrder() - function in jline.util.matrix.Matrix: Equivalent to the colon operator in MATLAB (:).
columnMatrixToDoubleArray(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Converts a column matrix (of size m x 1) to a dense double array of length m.
ColumnView - class in jline.util.matrix: A lightweight view into a column of a sparse matrix that doesn't copy data.
COMBINED - enum entry in jline.lang.constant.BalkingStrategy: Combined balking strategy. Customer balks if EITHER the queue-length threshold OR expected-wait condition triggers. Provides flexibility for complex balking behaviors.
compare(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.String) - function in jline.util.matrix.Matrix: Compares two matrices element-wise using a specified comparison operator.
compareAgainstBaseline(java.util.List,jline.bench.BenchmarkRegression.RegressionBaseline) - function in jline.bench.BenchmarkRegression: Compare current results against baseline using maxerronsum logic
compareMatrix(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Compares this matrix to another matrix for approximate equality.
compareTo(jline.util.Pair) - function in jline.util.Pair
compatibleSizesAdd(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Performs element-wise addition with shape broadcasting where applicable.
ComplexMatrix - class in jline.util.matrix: A matrix class for handling complex-valued matrices using separate real and imaginary components.
compose(java.util.function.Function) - function in java.util.function.Function
compose(java.util.function.Function) - function in java.util.function.SerializableFunction
composeParallel(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.workflow.Workflow
composeRepeat(jline.util.matrix.Matrix,jline.util.matrix.Matrix,int) - function in jline.lang.workflow.Workflow
composeSerial(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.workflow.Workflow
compressCoxian(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3A.Companion: Compresses an MMAP using the M3A Coxian approximation method.
compressErlang(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3A.Companion: Compresses an MMAP using the M3A Erlang approximation method.
compressHyperExponential(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3A.Companion: Compresses an MMAP using the M3A hyper-exponential approximation method.
compressMinimal(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.lib.m3a.M3A.Companion: Compresses an MMAP using the M3A minimal representation method.
compressPhaseType(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3A.Companion: Compresses an MMAP using the M3A phase-type approximation method.
compute(jline.util.matrix.Matrix,jline.lang.NetworkStruct) - function in jline.lang.reward.RewardFunction: Compute the reward value for a given state.
compute() - function in jline.lib.perm.AdaPartSampler: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.BethePermanent: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.HeuristicPermanent: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.HuberLawSampler: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.NaivePermanent: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.PermSolver: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.Permanent: Compute the permanent or approximation for the given matrix.
compute() - function in jline.lib.perm.RyzerPermanent: Compute the permanent or approximation for the given matrix.
compute_norm_const(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.nc.Pfqn_ncKt: Run a normalizing constant solution method in a load-independent model
compute_norm_const_ld(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.solvers.SolverOptions) - function in jline.api.pfqn.ld.Pfqn_ncldKt: Run a normalizing constant solution method in a load-dependent model
computeArrivalRate(jline.util.matrix.MatrixCell) - function in jline.api.mam.Maph2m_fitc_approxKt: Helper functions for computing model characteristics
computeAutocorrelation(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3aUtils.Companion: Computes the autocorrelation function of an MMAP up to the specified lag.
computeCdf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,kotlin.DoubleArray,java.lang.Double,java.lang.Double) - function in jline.api.map.MAPM1PSCdfRespT: Compute complementary sojourn time CDF for MAP/M/1-PS queue
computeCdf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,kotlin.DoubleArray,java.lang.Double) - function in jline.api.map.MAPM1PSCdfRespT: Compute complementary sojourn time CDF for MAP/M/1-PS queue
computeCdf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,kotlin.DoubleArray) - function in jline.api.map.MAPM1PSCdfRespT: Compute complementary sojourn time CDF for MAP/M/1-PS queue
computeClassVarianceDiff(jline.util.matrix.MatrixCell,java.lang.Integer,java.lang.Double) - function in jline.api.mam.Maph2m_fitc_approxKt
computeCoeffVar(jline.util.matrix.MatrixCell) - function in jline.lib.m3a.M3aUtils.Companion: Computes the coefficient of variation of an MMAP.
computeDerivatives(double,kotlin.Array,kotlin.Array) - function in jline.solvers.fluid.handlers.ClosingAndStateDepMethodsODE
computeDerivatives(double,kotlin.Array,kotlin.Array) - function in jline.solvers.fluid.handlers.MatrixMethodODE
computeDerivatives(double,kotlin.Array,kotlin.Array) - function in jline.solvers.fluid.handlers.PassageTimeODE
computeIDC(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.api.mam.Maph2m_fitc_approxKt
computeIDC(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.lib.m3a.M3aUtils.Companion: Computes the index of dispersion for counts (IDC) of an MMAP.
computeIDCInfinity(jline.util.matrix.MatrixCell) - function in jline.api.mam.Maph2m_fitc_approxKt
computeKLDivergence(jline.util.matrix.MatrixCell,jline.util.matrix.MatrixCell,java.lang.Integer,java.lang.Integer) - function in jline.lib.m3a.M3aUtils.Companion: Computes the Kullback-Leibler divergence between two MMAPs.
computeLayout() - function in jline.io.tikz.SequenceDiagramLayoutEngine: Computes the complete layout for the sequence diagram.
computeLayout() - function in jline.io.tikz.TikZLayoutEngine: Computes the layout for all nodes.
computeMoments(jline.util.matrix.MatrixCell,java.lang.Integer) - function in jline.lib.m3a.M3aUtils.Companion: Computes the first n moments of an MMAP.
computeOBMStatistics(java.util.List,java.lang.Integer) - function in jline.solvers.des.handlers.Solver_ssjKt: Compute OBM (Overlapping Batch Means) statistics with 50% overlap.
computePi(jline.util.matrix.Matrix,jline.lib.fjcodes.FJArrival,jline.lib.fjcodes.FJService,jline.lib.fjcodes.FJServiceH,java.lang.Integer,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lib.fjcodes.ComputePiKt: Compute steady-state distribution for the case with 2 replicasSolves for the steady-state probability pi0 and expected number En1.
ComputePiKt - class in jline.lib.fjcodes
computeScalarCountMean(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.api.mam.Maph2m_fitc_theoreticalKt: Compute scalar count mean from MMAP using proper theoretical analysis
computeScalarCountVar(jline.util.matrix.MatrixCell,java.lang.Double) - function in jline.api.mam.Maph2m_fitc_theoreticalKt: Compute scalar count variance from MMAP using proper theoretical analysis
computeSpectralGap(jline.util.matrix.MatrixCell) - function in jline.lib.m3a.M3aUtils.Companion: Computes the spectral gap of an MMAP generator matrix.
computeStandardBatchMeansStatistics(java.util.List,java.lang.Integer) - function in jline.solvers.des.handlers.Solver_ssjKt: Compute standard (non-overlapping) batch means statistics.
computeT(jline.lib.fjcodes.FJArrival,jline.lib.fjcodes.FJService,jline.lib.fjcodes.FJServiceH,java.lang.Integer,java.lang.String) - function in jline.lib.fjcodes.ComputeTKt: Compute T-matrix using specified methodThe T-matrix is computed using either the Sylvester equation approach or the NARE (Nonsymmetric Algebraic Riccati Equation) method.
computeT_NARE(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lib.fjcodes.ComputeT_NAREKt: Compute T-matrix via NARE method using Schur decompositionThe T-matrix satisfies the equation: TX + Xkron(I_ms, D0) + kron(A_jump, I_ma) = 0where X is the solution to the algebraic Riccati equation associated with the Hamiltonian matrix H = A, B; -C, -D.
ComputeT_NAREKt - class in jline.lib.fjcodes
computeT_Sylvester(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lib.fjcodes.ComputeT_SylvesterKt: Compute T-matrix via Sylvester equation methodUses fixpoint iteration solving Sylvester equations via Hessenberg decomposition.
ComputeT_SylvesterKt - class in jline.lib.fjcodes
ComputeTKt - class in jline.lib.fjcodes
ComputeTResult - class in jline.lib.fjcodes: Result of computeT
computeWaypoints(jline.lang.nodes.Node,jline.lang.nodes.Node,java.util.List) - function in jline.io.tikz.TikZEdgeRouter: Computes waypoints for an edge to avoid overlapping nodes.
computeWeaklyConnectedComponents() - function in jline.util.graph.UndirectedGraph
concatCols(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Concatenates this matrix with another matrix horizontally.
concatColumns(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Concatenates two matrices horizontally (column-wise).
concatColumns(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
concatColumnsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix: Concatenates matrices column-wise.
concatColumnsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix: Concatenates matrices column-wise.
concatColumnsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix: Concatenates matrices column-wise.
concatColumnsInPlaceStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
concatColumnsStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
concatRows(jline.util.matrix.ComplexMatrix,jline.util.matrix.ComplexMatrix,jline.util.matrix.ComplexMatrix) - function in jline.util.matrix.ComplexMatrix: Concatenates two complex matrices vertically (row-wise).
concatRows(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Concatenates two matrices vertically (row-wise).
concatRows(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
concatRowsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.BaseMatrix: Concatenates matrices row-wise.
concatRowsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.DenseMatrix: Concatenates matrices row-wise.
concatRowsInPlace(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix: Concatenates matrices row-wise.
concatRowsInPlaceStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
concatRowsStatic(org.ejml.data.DMatrix,org.ejml.data.DMatrix,org.ejml.data.DMatrix) - function in jline.util.matrix.SparseMatrix
confint(double) - function in jline.solvers.SolverOptions: Sets the confidence interval level for simulation-based solvers (builder pattern).
confint(double) - function in jline.solvers.SolverOptions: Sets the confidence interval level for simulation-based solvers (builder pattern).
connect() - function in org.java_websocket.client.WebSocketClient
connectBlocking() - function in org.java_websocket.client.WebSocketClient
ConnectedComponents - class in jline.lib.kpctoolbox.mc: Result of connected component analysis.
ConstantGen - class in jline.solvers.des.handlers: Custom random variate generator for deterministic (constant) values.
constraintBuilder(java.lang.Integer) - function in jline.api.mapqn.Mapqn_lpmodel: Create a linear constraint builder
construct() - function in jline.solvers.ln.SolverLN
construct() - function in jline.solvers.ln.SolverLN
constructMaph2m(java.lang.Double,java.lang.Double,java.lang.Double,kotlin.DoubleArray,java.lang.Double) - function in jline.api.mam.Maph2m_fitc_approxKt: Construct MAPH(2,m) model from parameters
constructNotAllBusy(java.lang.Integer,jline.lib.fjcodes.FJService,jline.lib.fjcodes.FJServiceH) - function in jline.lib.fjcodes.FJStateSpaceKt: Construct state space matrix for not-all-busy states
constructSRK(java.lang.Integer,jline.lib.fjcodes.FJService,jline.lib.fjcodes.FJServiceH,jline.util.matrix.Matrix) - function in jline.lib.fjcodes.FJStateSpaceKt: Construct extended state space matrices (Se, Sestar, R0, Ke, Kc)
contains(jline.lang.state.EventCacheKey) - function in jline.lang.state.EventCache
containsJobClass(jline.lang.JobClass) - function in jline.lang.nodes.Queue: Checks whether this queue has a service process configured for the specified job class.
containsJobClass(jline.lang.JobClass) - function in jline.lang.nodes.Queue: Checks whether this queue has a service process configured for the specified job class.
containsJobClass(jline.lang.JobClass) - function in jline.lang.nodes.Source: Checks if this source has an arrival process configured for the specified job class.
containsJobClass(jline.lang.JobClass) - function in jline.lang.sections.ServiceSection
containsJobClass(jline.lang.JobClass) - function in jline.lang.sections.ServiceSection
containsKey(java.lang.String) - function in jline.solvers.SolverOptions.Config: Check if a configuration parameter exists
ContinuousDistribution - class in jline.lang.processes: An abstract class for continuous distributions
converged(int) - function in jline.solvers.EnsembleSolver
converged(int) - function in jline.solvers.env.SolverENV
converged(int) - function in jline.solvers.env.SolverENV
converged(int) - function in jline.solvers.ln.SolverLN
converged(int) - function in jline.solvers.ln.SolverLN
converged(int) - function in jline.solvers.posterior.SolverPosterior
convert(jline.lang.layered.LayeredNetwork) - function in jline.io.LQN2QN: Converts a LayeredNetwork to an equivalent queueing network using REPLY signals.
convert_to_arraylist(kotlin.Array) - function in jline.lib.lti.cme
convert_to_laplace(java.util.ArrayList) - function in jline.lib.lti.cme
convertToBenchmarkResult(java.lang.String,java.util.Map) - function in jline.bench.BenchmarkRegression: Convert benchmark results from Map format to BenchmarkResult
convertToFJArrival(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.fj.FJConvertKt: Convert LINE MAP to FJ arrival format
convertToFJService(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.api.fj.FJConvertKt: Convert LINE PH to FJ service format
ConvolutionPattern - class in jline.lib.kpctoolbox.aph: Convolution patterns for APH simplification.
convolve(jline.lang.processes.GMM) - function in jline.lang.processes.GMM: Creates a new GMM by convolving this GMM with another GMM.
COPY - enum entry in jline.api.sn.ModifyMode: Create a deep copy of the NetworkStruct, modify the copy, and return it. The original NetworkStruct remains unchanged. Useful when you need to preserve the original state.
copy() - function in jline.lang.Copyable: Creates a deep copy of this object using serialization.
copy() - function in jline.lang.Copyable: Creates a deep copy of this object using serialization.
copy() - function in jline.solvers.SolverOptions: Creates a deep copy of this SolverOptions instance.
copy() - function in jline.solvers.SolverOptions: Creates a deep copy of this SolverOptions instance.
copy() - function in jline.solvers.auto.AUTOptions: Creates a deep copy of this SolverOptions instance.
copy() - function in jline.solvers.des.DESOptions: Creates a deep copy of this DESOptions object.
copy() - function in jline.util.matrix.BaseMatrix: Creates and returns a deep copy of this matrix.
copy() - function in jline.util.matrix.ComplexMatrix: Creates a deep copy of this complex matrix.
copy() - function in jline.util.matrix.DenseMatrix: Creates and returns a deep copy of this dense matrix.
copy() - function in jline.util.matrix.Matrix: Returns a deep copy of this matrix.
copy() - function in jline.util.matrix.SparseMatrix: Creates and returns a deep copy of this sparse matrix.
Copyable - class in jline.lang: Copyable interface allows to perform deep-copy of objects via the copy() method.
count(double) - function in jline.util.matrix.Matrix: Counts how many elements in the matrix are equal to a specified value.
countEachRow(double) - function in jline.util.matrix.BaseMatrix: Counts occurrences of each unique value in each row.
countEachRow(double) - function in jline.util.matrix.DenseMatrix: Counts occurrences of each unique value in each row.
countEachRow(double) - function in jline.util.matrix.Matrix: Counts the number of occurrences of a value in each row of the matrix.
countEachRow(double) - function in jline.util.matrix.SparseMatrix: Counts occurrences of each unique value in each row.
countNonZeros(kotlin.IntArray) - function in jline.lib.mom.util.MomUtils: Count non-zero elements in an array
CountStatistics - class in jline.api.trace: Data class for count statistics
COX2 - enum entry in jline.lang.constant.ProcessType
Cox2 - class in jline.lang.processes: A Coxian distribution with 2 phases.
COXIAN - enum entry in jline.lang.constant.ProcessType
Coxian - class in jline.lang.processes: A general Coxian distribution with n phases.
cpos(jline.util.matrix.Matrix,int,int) - function in jline.lang.state.AfterEventCache
cqn_bcmp_theorem() - function in jline.examples.java.basic.ClosedExamples: BCMP theorem validation example (cqn_bcmp_theorem.ipynb).
cqn_bcmp_theorem_fcfs() - function in jline.examples.java.basic.ClosedModel: Two-class FCFS network demonstrating First-Come-First-Served scheduling.
cqn_bcmp_theorem_lcfspr() - function in jline.examples.java.basic.ClosedModel: Two-class LCFSPR network demonstrating Last-Come-First-Served Preemptive Resume.
cqn_bcmp_theorem_ps() - function in jline.examples.java.basic.ClosedModel: Simple two-class PS network for processor sharing demonstration.
cqn_lcfs_lcfspr() - function in jline.examples.java.basic.ClosedModel: Two-class closed network with LCFS and LCFSPR scheduling.
cqn_lcfs_lcfspr_3class() - function in jline.examples.java.basic.ClosedModel: Creates a closed queueing network with LCFS and LCFSPR scheduling - 3 class variant.
cqn_lcfs_lcfspr_4class() - function in jline.examples.java.basic.ClosedModel: Creates a closed queueing network with LCFS and LCFSPR scheduling - 4 class variant.
cqn_mmpp2_service() - function in jline.examples.java.basic.ClosedExamples: MMPP2 service process example (cqn_mmpp2_service.ipynb).
cqn_mmpp2_service() - function in jline.examples.java.basic.ClosedModel: APH service distributions with complex routing patterns.
cqn_multiserver() - function in jline.examples.java.basic.ClosedExamples: Multi-server closed network (cqn_multiserver.ipynb).
cqn_multiserver() - function in jline.examples.java.basic.ClosedModel: Four-class closed network with multiple FCFS queues.
cqn_oneline() - function in jline.examples.java.basic.ClosedExamples: One-line closed network specification (cqn_oneline.ipynb).
cqn_oneline() - function in jline.examples.java.basic.ClosedModel: Two-class closed network with four-node cyclic topology.
cqn_repairmen() - function in jline.examples.java.basic.ClosedExamples: Repairman model (cqn_repairmen.ipynb).
cqn_repairmen() - function in jline.examples.java.basic.ClosedModel: Simple closed network with a delay node and FCFS queue.
cqn_repairmen_multi() - function in jline.examples.java.basic.ClosedExamples: Multi-class repairman model (cqn_repairmen_multi.ipynb).
cqn_repairmen_multi() - function in jline.examples.java.basic.ClosedModel: Two-class closed network with multi-server queue.
cqn_scheduling_dps() - function in jline.examples.java.basic.ClosedExamples: Discriminatory processor sharing (cqn_scheduling_dps.ipynb).
cqn_scheduling_dps() - function in jline.examples.java.basic.ClosedModel: Mixed scheduling strategies with probabilistic routing.
cqn_threeclass_hyperl() - function in jline.examples.java.basic.ClosedExamples: Three-class hyperexponential system (cqn_threeclass_hyperl.ipynb).
cqn_threeclass_hyperl() - function in jline.examples.java.basic.ClosedModel: Three-class closed network with multi-server PS queue.
cqn_twoclass_erl() - function in jline.examples.java.basic.ClosedExamples: Two-class Erlang system (cqn_twoclass_erl.ipynb).
cqn_twoclass_erl() - function in jline.examples.java.basic.ClosedModel: Closed network with class switching using probabilistic routing.
cqn_twoclass_hyperl() - function in jline.examples.java.basic.ClosedExamples: Two-class hyperexponential system (cqn_twoclass_hyperl.ipynb).
cqn_twoclass_hyperl() - function in jline.examples.java.basic.ClosedModel: Two-class closed network with class switching.
cqn_twoqueues() - function in jline.examples.java.basic.ClosedExamples: Two queues with reducible routing (cqn_twoqueues.ipynb).
cqn_twoqueues() - function in jline.examples.java.basic.ClosedModel: Single-class closed network with reducible routing matrix.
cqn_twoqueues_multi() - function in jline.examples.java.basic.ClosedExamples: Two queues with multi-class system (cqn_twoqueues_multi.ipynb).
cqn_twoqueues_multi() - function in jline.examples.java.basic.ClosedModel: Two-class three-node closed network with serial topology.
CQNResultsFormatter - class in jline.bench.cqn: Formats CQN benchmark results in MATLAB-style output format
CQNResultsFormatter.CQNBenchmarkResult - class in jline.bench.cqn.CQNResultsFormatter: Benchmark result data structure
CQNResultsFormatter.CQNResultsAccumulator - class in jline.bench.cqn.CQNResultsFormatter: Accumulates benchmark results for batch formatting
CR - enum entry in jline.lib.butools.mam.GM1Method
CR - enum entry in jline.lib.butools.mam.MG1Method
CramerVonMisesAlgo - class in jline.api.measures: Cramer Von Mises algorithms
create(jline.lang.Network) - function in jline.solvers.auto.LINE: Convenience method - create LINE solver with default settings
create(jline.lang.Network,java.lang.String) - function in jline.solvers.auto.LINE: Convenience method - create LINE solver with method
create(jline.lang.Network) - function in jline.solvers.posterior.SolverPosterior.SolverFactory
createAccumulator() - function in jline.bench.cqn.CQNResultsFormatter: Create a standalone formatter for custom use
createAccumulator() - function in jline.bench.mqn.MQNResultsFormatter
createAccumulator() - function in jline.bench.oqn.OQNResultsFormatter
createBaseline(java.util.List) - function in jline.bench.BenchmarkRegression: Create baseline from current benchmark results
createBlockDiagonal(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Creates a block diagonal matrix by placing the current matrix in the top-left and another matrix (if provided) in the bottom-right.
createBuffer() - function in org.java_websocket.server.WebSocketServer
createCentralServerModel() - function in jline.examples.java.basic.NetworkVisualizationExample: Creates a central server model (closed network with CPU and multiple disks).
createForkJoinNetwork() - function in jline.examples.java.basic.NetworkVisualizationExample: Creates a network with a Fork-Join structure.
createForwardingExample() - function in jline.examples.java.basic.LayeredVisualizationExample: Creates a simple model demonstrating forwarding calls.
createFromNetworkStruct(jline.lang.NetworkStruct) - function in jline.api.mapqn.Mapqn_parameters_factory: Creates appropriate Mapqn_parameters based on NetworkStruct properties.
createHierarchicalLayout(int,int) - function in jline.io.ModelVisualizer: Creates a hierarchical layout appropriate for the model type.
createHierarchicalLayout(int,int,double) - function in jline.io.ModelVisualizer: Creates a hierarchical layout with vertical spacing factor.
createLike(jline.util.matrix.Matrix) - function in jline.util.matrix.Matrix: Creates a new empty matrix with the same shape and internal structure as the given matrix.
createLinearReductionParameters(jline.lang.NetworkStruct) - function in jline.api.mapqn.Mapqn_parameters_factory: Creates LinearReductionParameters from NetworkStruct.
createMixedClassNetwork() - function in jline.examples.java.basic.NetworkVisualizationExample: Creates a larger mixed-class network with open and closed classes.
createMultiPathNetwork() - function in jline.examples.java.basic.NetworkVisualizationExample: Creates a more complex network with multiple paths.
createNewInstance(int,int,int) - function in jline.util.matrix.BaseMatrix: Creates a new instance of the concrete matrix implementation.
createNewInstance(int,int,int) - function in jline.util.matrix.DenseMatrix: Creates a new instance of the concrete dense matrix implementation.
createNewInstance(int,int,int) - function in jline.util.matrix.SparseMatrix: Creates a new instance of the concrete sparse matrix implementation.
createObjectiveCoefficients(java.lang.String) - function in jline.api.mapqn.Mapqn_lpmodel: Create objective function coefficients array
createOptimalSolver() - function in jline.api.wf.Wf_auto_integration: Create and configure solver based on workflow analysis.
createOptimizedSolver() - function in jline.api.wf.WorkflowManager: Create an optimized solver based on workflow analysis.
createSimpleOpenNetwork() - function in jline.examples.java.basic.NetworkVisualizationExample: Creates a simple open queueing network with Source, Queue, Delay, and Sink.
crpSolve(jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.mc.CRPSolveKt: Computes the stationary solution of a continuous time rational process (CRP).
CRPSolveKt - class in jline.lib.butools.mc
cs_implicit() - function in jline.examples.java.basic.ClassSwitchExamples
cs_implicit() - function in jline.examples.java.basic.ClassSwitchingModel: Class switching example with probabilistic transitions.
cs_multi_diamond() - function in jline.examples.java.basic.ClassSwitchExamples
cs_multi_diamond() - function in jline.examples.java.basic.ClassSwitchingModel: Multi-diamond class switching example.
cs_single_diamond() - function in jline.examples.java.basic.ClassSwitchExamples
cs_single_diamond() - function in jline.examples.java.basic.ClassSwitchingModel: Single-diamond class switching example.
cs_transient_class() - function in jline.examples.java.basic.ClassSwitchExamples
cs_transient_class() - function in jline.examples.java.basic.ClassSwitchingModel: Transient class switching example.
CSFunInput - class in jline.lang.sections: Input class for ClassSwitcher function.
CTMC - enum entry in jline.lang.constant.SolverType
CTMC - class in jline.solvers.ctmc: CTMC is an alias for SolverCTMC (Continuous Time Markov Chain solver).
ctmc_courtois(jline.util.matrix.Matrix,java.util.List,java.lang.Double) - function in jline.api.mc.Ctmc_courtoisKt: Courtois decomposition for nearly completely decomposable CTMCs
ctmc_courtois(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell) - function in jline.solvers.env.SolverENV
ctmc_courtois(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell) - function in jline.solvers.env.SolverENV
ctmc_courtois(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,double) - function in jline.solvers.env.SolverENV
ctmc_courtois(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,double) - function in jline.solvers.env.SolverENV
Ctmc_courtoisKt - class in jline.api.mc
ctmc_decompose(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,jline.solvers.SolverOptions) - function in jline.solvers.env.SolverENV: Perform CTMC decomposition using the configured method.
ctmc_decompose(jline.util.matrix.Matrix,jline.util.matrix.MatrixCell,jline.solvers.SolverOptions) - function in jline.solvers.env.SolverENV: Perform CTMC decomposition using the configured method.
ctmc_kms(jline.util.matrix.Matrix,java.util.List,java.lang.Integer) - function in jline.api.mc.Ctmc_kmsKt: Koury-McAllister-Stewart aggregation-disaggregation method for CTMCs
Ctmc_kmsKt - class in jline.api.mc
ctmc_makeinfgen(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_makeinfgenKt: Converts a matrix into a valid infinitesimal generator for a CTMC.
ctmc_makeinfgen(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.CTMCKt: Normalizes a matrix to be a valid infinitesimal generator.
Ctmc_makeinfgenKt - class in jline.api.mc
ctmc_multi(jline.util.matrix.Matrix,java.util.List,java.util.List) - function in jline.api.mc.Ctmc_multiKt: Multi-level aggregation method for CTMCs Basic one-step implementation of standard multigrid method
Ctmc_multiKt - class in jline.api.mc
ctmc_pseudostochcomp(jline.util.matrix.Matrix,java.util.List) - function in jline.api.mc.Ctmc_pseudostochcompKt
Ctmc_pseudostochcompKt - class in jline.api.mc
ctmc_rand(java.lang.Integer) - function in jline.api.mc.Ctmc_randKt: Form a random infinitesimal generator of a CTMC
ctmc_rand(java.lang.Integer) - function in jline.lib.kpctoolbox.mc.CTMCKt: Generates a random infinitesimal generator matrix.
Ctmc_randKt - class in jline.api.mc
ctmc_randomization(jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.mc.Ctmc_randomizationKt: Convert a CTMC to a DTMC using randomization technique
ctmc_randomization(jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.kpctoolbox.mc.CTMCKt: Applies uniformization (randomization) to transform a CTMC into a DTMC.
Ctmc_randomizationKt - class in jline.api.mc
ctmc_relsolve(jline.util.matrix.Matrix,java.lang.Integer,java.util.Map) - function in jline.api.mc.Ctmc_relsolveKt: Equilibrium distribution of a continuous-time Markov chain re-normalized with respect to the probability of a reference state.
ctmc_relsolve(jline.util.matrix.Matrix,java.lang.Integer) - function in jline.lib.kpctoolbox.mc.CTMCKt: Computes the equilibrium distribution relative to a reference state.
Ctmc_relsolveKt - class in jline.api.mc
ctmc_simulate(jline.util.matrix.Matrix,kotlin.DoubleArray,java.lang.Integer) - function in jline.api.mc.Ctmc_simulateKt: Form a random infinitesimal generator of CTMC
Ctmc_simulateKt - class in jline.api.mc
ctmc_solve(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_solveKt: Return the steady-state probability of a CTMC.
ctmc_solve(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.CTMCKt: Computes the equilibrium distribution of a continuous-time Markov chain.
ctmc_solve_reducible(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.Map) - function in jline.api.mc.Ctmc_solve_reducibleKt: Solve reducible CTMCs by converting to DTMC via randomization
ctmc_solve_reducible_full(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.util.Map) - function in jline.api.mc.Ctmc_solve_reducibleKt
Ctmc_solve_reducibleKt - class in jline.api.mc
ctmc_solveFull(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.CTMCKt: Computes the equilibrium distribution with full details.
Ctmc_solveKt - class in jline.api.mc
ctmc_ssg(jline.lang.NetworkStruct,jline.solvers.SolverOptions) - function in jline.api.mc.Ctmc_ssgKt
ctmc_ssg_reachability(jline.lang.NetworkStruct,jline.solvers.SolverOptions) - function in jline.api.mc.Ctmc_ssg_reachabilityKt: CTMC State Space Generator for Reachability Analysis Generates state spaces using reachability analysis for CTMC models.
Ctmc_ssg_reachabilityKt - class in jline.api.mc
Ctmc_ssgKt - class in jline.api.mc
ctmc_stmonotone(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_stmonotoneKt: Computes the stochastically monotone upper bound for a CTMC Based on Forneau, Pekergin - An Algorithmic Approach to Stochastic Bounds, Performance 2002
Ctmc_stmonotoneKt - class in jline.api.mc
ctmc_stochcomp(jline.util.matrix.Matrix,java.util.List) - function in jline.api.mc.Ctmc_stochcompKt
Ctmc_stochcompKt - class in jline.api.mc
ctmc_takahashi(jline.util.matrix.Matrix,java.util.List,java.lang.Integer) - function in jline.api.mc.Ctmc_takahashiKt: Takahashi's aggregation-disaggregation method for CTMCs
Ctmc_takahashiKt - class in jline.api.mc
ctmc_testpf_kolmogorov(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_testpf_kolmogorovKt: Test if a CTMC has product form using Kolmogorov's criteria Checks if the product of transition rates along any cycle equals the product of rates in the reverse direction
Ctmc_testpf_kolmogorovKt - class in jline.api.mc
ctmc_timereverse(jline.util.matrix.Matrix) - function in jline.api.mc.Ctmc_timereverseKt: Compute the infinitesimal generator of the time-reserved CTMC
ctmc_timereverse(jline.util.matrix.Matrix) - function in jline.lib.kpctoolbox.mc.CTMCKt: Computes the time-reversed generator of a CTMC.
Ctmc_timereverseKt - class in jline.api.mc
ctmc_transient(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.mc.Ctmc_transientKt: Return the transient probability distribution of the CTMC
ctmc_transient(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double) - function in jline.api.mc.Ctmc_transientKt: Return the transient probability distribution of the CTMC
ctmc_transient(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Double) - function in jline.api.mc.Ctmc_transientKt: Return the transient probability distribution of the CTMC with optional fixed timestep
ctmc_transient(jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.mc.Ctmc_transientKt: Return the transient probability distribution of the CTMC
Ctmc_transientKt - class in jline.api.mc
ctmc_uniformization(jline.util.matrix.Matrix,jline.util.matrix.Matrix,java.lang.Double) - function in jline.api.mc.Ctmc_uniformizationKt: Return the transient probability distribution of the CTMC via the uniformization method.
ctmc_uniformization(kotlin.DoubleArray,jline.util.matrix.Matrix,java.lang.Double,java.lang.Double,java.lang.Integer) - function in jline.lib.kpctoolbox.mc.CTMCKt: Computes transient probabilities using uniformization method.
Ctmc_uniformizationKt - class in jline.api.mc
CtmcCourtoisAlgo - class in jline.api.mc: CTMC courtois algorithms
CtmcKmsAlgo - class in jline.api.mc: CTMC kms algorithms
CTMCKt - class in jline.lib.kpctoolbox.mc
CtmcMakeinfgenAlgo - class in jline.api.mc: CTMC makeinfgen algorithms
CtmcMultiAlgo - class in jline.api.mc: CTMC multi algorithms
CTMCOptions - class in jline.solvers.ctmc
CtmcPseudostochcompAlgo - class in jline.api.mc: CTMC pseudostochcomp algorithms
CtmcRandAlgo - class in jline.api.mc: CTMC rand algorithms
CtmcRandomizationAlgo - class in jline.api.mc: CTMC randomization algorithms
CtmcRelsolveAlgo - class in jline.api.mc: CTMC relsolve algorithms
CTMCResult - class in jline.solvers.ctmc
CTMCResult.AVG - class in jline.solvers.ctmc.CTMCResult
CTMCResult.Prob - class in jline.solvers.ctmc.CTMCResult
CTMCResult.TRAN - class in jline.solvers.ctmc.CTMCResult
CTMCResult.TranProbAggrResult - class in jline.solvers.ctmc.CTMCResult
CTMCResult.TranProbResult - class in jline.solvers.ctmc.CTMCResult
CTMCResult.TranProbSysAggrResult - class in jline.solvers.ctmc.CTMCResult
CTMCResult.TranProbSysResult - class in jline.solvers.ctmc.CTMCResult
CtmcSimulateAlgo - class in jline.api.mc: CTMC simulate algorithms
ctmcSolve(jline.util.matrix.Matrix,java.lang.Double) - function in jline.lib.butools.mc.CTMCSolveKt: Computes the stationary solution of a continuous time Markov chain.
ctmcSolve(jline.util.matrix.Matrix) - function in jline.lib.butools.mc.CTMCSolveKt: Computes the stationary solution of a continuous time Markov chain.
CtmcSolveAlgo - class in jline.api.mc: CTMC solve algorithms
CTMCSolveKt - class in jline.lib.butools.mc
CtmcSolveReducibleAlgo - class in jline.api.mc: CTMC solve reducible algorithms
CtmcSolveReducibleResult - class in jline.api.mc: Alternative signature that returns additional information
CTMCSolveResult - class in jline.lib.kpctoolbox.mc: Result of CTMC solving.
CtmcSsgAlgo - class in jline.api.mc: CTMC ssg algorithms
CtmcSsgReachabilityAlgo - class in jline.api.mc: CTMC ssg reachability algorithms
CtmcSsgReachabilityResult - class in jline.api.mc: Result data class for CTMC SSG reachability analysis
CtmcStmonotoneAlgo - class in jline.api.mc: CTMC stmonotone algorithms
CtmcStochcompAlgo - class in jline.api.mc: CTMC stochcomp algorithms
CtmcTakahashiAlgo - class in jline.api.mc: CTMC takahashi algorithms
CtmcTestpfKolmogorovAlgo - class in jline.api.mc: CTMC testpf kolmogorov algorithms
CtmcTimereverseAlgo - class in jline.api.mc: CTMC timereverse algorithms
CtmcTransientAlgo - class in jline.api.mc: CTMC transient algorithms
CtmcUniformizationAlgo - class in jline.api.mc: CTMC uniformization algorithms
cumSum(kotlin.Array) - function in jline.util.Maths: Cumulative sum of an array, where the value at each index of the result is the sum of all the previous values of the input.
cumSum(kotlin.Array) - function in jline.util.Maths: Cumulative sum of an array, where the value at each index of the result is the sum of all the previous values of the input.
cumsumViaCol() - function in jline.util.matrix.Matrix: Computes the cumulative sum of the matrix down each column.
cumsumViaRow() - function in jline.util.matrix.Matrix: Computes the cumulative sum of the matrix across each row.
customromberg - class in jline.lib.lti
cutoff(double) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(double) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(int) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(int) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a scalar value (builder pattern).
cutoff(jline.util.matrix.Matrix) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a matrix (builder pattern).
cutoff(jline.util.matrix.Matrix) - function in jline.solvers.SolverOptions: Sets the numerical cutoff threshold as a matrix (builder pattern).
cyclic(jline.util.matrix.Matrix,jline.util.matrix.Matrix,kotlin.Array,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic queueing network model with specified job populations, service demands, scheduling strategies, and server counts.
cyclicFcfs(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic queueing network with First Come First Served (FCFS) scheduling at all stations.
cyclicFcfs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic queueing network with FCFS scheduling and specified server counts.
cyclicFcfsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic network with infinite server (delay) stations followed by FCFS queue stations.
cyclicFcfsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic network with infinite server stations followed by FCFS queue stations with specified server counts.
cyclicGraph(int) - function in jline.gen.NetworkGenerator: Generate a cyclic graph topology
CyclicPollingExamples - class in jline.examples.java.advanced: Examples demonstrating cyclic polling systems.
CyclicPollingModel - class in jline.examples.java.advanced: Examples of models with polling
cyclicPs(jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic queueing network with Processor Sharing (PS) scheduling at all stations.
cyclicPs(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic queueing network with PS scheduling and specified server counts.
cyclicPsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic network with infinite server (delay) stations followed by PS queue stations.
cyclicPsInf(jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix,jline.util.matrix.Matrix) - function in jline.lang.Network: Creates a cyclic network with infinite server stations followed by PS queue stations with specified server counts.

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