Uses of Class
jline.solvers.ctmc.SolverCTMC.SensitivityParameter
Packages that use SolverCTMC.SensitivityParameter
Package
Description
Automatic solver selection and configuration for queueing networks.
This package provides an implementation of SolverCTMC.
-
Uses of SolverCTMC.SensitivityParameter in jline.solvers.auto
Methods in jline.solvers.auto with parameters of type SolverCTMC.SensitivityParameterModifier and TypeMethodDescriptionSolverAUTO.getSensitivity(SolverCTMC.SensitivityParameter param, Matrix reward) Steady-state parameter sensitivity, always from SolverCTMC.SolverAUTO.getSensitivity(SolverCTMC.SensitivityParameter param, Matrix reward, String method) Steady-state parameter sensitivity, always from SolverCTMC.Method parameters in jline.solvers.auto with type arguments of type SolverCTMC.SensitivityParameterModifier and TypeMethodDescriptionSolverAUTO.getSensitivityRanking(List<SolverCTMC.SensitivityParameter> params, Matrix reward) Parameters ranked by their influence on a steady-state reward, always from SolverCTMC.SolverAUTO.getSensitivityRanking(List<SolverCTMC.SensitivityParameter> params, Matrix reward, String method) Parameters ranked by their influence on a steady-state reward, always from SolverCTMC. -
Uses of SolverCTMC.SensitivityParameter in jline.solvers.ctmc
Methods in jline.solvers.ctmc with parameters of type SolverCTMC.SensitivityParameterModifier and TypeMethodDescriptionSolverCTMC.getSensitivity(SolverCTMC.SensitivityParameter param, Matrix reward) SolverCTMC.getSensitivity(SolverCTMC.SensitivityParameter param, Matrix reward, String method) Parametric sensitivity of a steady-state reward, Trivedi and Bobbio (2017), Sec.Method parameters in jline.solvers.ctmc with type arguments of type SolverCTMC.SensitivityParameterModifier and TypeMethodDescriptionSolverCTMC.getSensitivityRanking(List<SolverCTMC.SensitivityParameter> params, Matrix reward) SolverCTMC.getSensitivityRanking(List<SolverCTMC.SensitivityParameter> params, Matrix reward, String method) Rank model parameters by their influence on a steady-state reward, as in Trivedi and Bobbio (2017), Table 9.3.