Package jline.inference.api

Class Infer_fluid_ps_rt_likelihood

java.lang.Object

jline.inference.api.Infer_fluid_ps_rt_likelihood

public final class Infer_fluid_ps_rt_likelihood
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	Infer_fluid_ps_rt_likelihood.FluidPsRtResult	Result of building the augmented fluid model for response time likelihood (MATLAB outputs ode_h, q_indices, augPhases, LIKE).

Method Summary

Modifier and Type	Method	Description
static Infer_fluid_ps_rt_likelihood.FluidPsRtResult	infer_fluid_ps_rt_likelihood(NetworkStruct sn, int taggedClass)	Builds the augmented (M, K+1) fluid model and its ODE right-hand side through the fluid solver's own ODE system (PassageTimeODE, the port of solver_fluid_odes), so that phase-type service, every scheduling discipline and schedparam are handled as in MATLAB infer_fluid_ps_rt_likelihood.m.
static Infer_fluid_ps_rt_likelihood.FluidPsRtResult	infer_fluid_ps_rt_likelihood(NetworkStruct sn, int taggedClass, Matrix y0Levels, double Rsampled)	The four-argument MATLAB form: also integrates the augmented ODE from the given initial levels up to the sampled response time and returns the likelihood in Infer_fluid_ps_rt_likelihood.FluidPsRtResult.LIKE.
static double	infer_fluid_ps_rt_solve(Infer_fluid_ps_rt_likelihood.FluidPsRtResult result, Matrix y0Levels, double Rsampled, int taggedClass)	Integrates the augmented ODE from y0_levels, with one unit of tagged fluid moved into the tagged copy at the reference station, until the tagged fluid is depleted or Rsampled is reached; LIKE = -ode_h(t_end, y_end)(refTagIdx)/newFluid when the integration reaches Rsampled and 0 otherwise.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

infer_fluid_ps_rt_likelihood

public static Infer_fluid_ps_rt_likelihood.FluidPsRtResult infer_fluid_ps_rt_likelihood(NetworkStruct sn,
 int taggedClass)

Builds the augmented (M, K+1) fluid model and its ODE right-hand side through the fluid solver's own ODE system (PassageTimeODE, the port of solver_fluid_odes), so that phase-type service, every scheduling discipline and schedparam are handled as in MATLAB infer_fluid_ps_rt_likelihood.m.

Parameters:

sn - network structure

taggedClass - tagged class (0-based)

infer_fluid_ps_rt_likelihood

public static Infer_fluid_ps_rt_likelihood.FluidPsRtResult infer_fluid_ps_rt_likelihood(NetworkStruct sn,
 int taggedClass,
 Matrix y0Levels,
 double Rsampled)

The four-argument MATLAB form: also integrates the augmented ODE from the given initial levels up to the sampled response time and returns the likelihood in Infer_fluid_ps_rt_likelihood.FluidPsRtResult.LIKE.

Parameters:

y0Levels - (M x K) initial fluid levels per station and class

Rsampled - sampled response time

infer_fluid_ps_rt_solve

public static double infer_fluid_ps_rt_solve(Infer_fluid_ps_rt_likelihood.FluidPsRtResult result,
 Matrix y0Levels,
 double Rsampled,
 int taggedClass)

Integrates the augmented ODE from y0_levels, with one unit of tagged fluid moved into the tagged copy at the reference station, until the tagged fluid is depleted or Rsampled is reached; LIKE = -ode_h(t_end, y_end)(refTagIdx)/newFluid when the integration reaches Rsampled and 0 otherwise.