Uses of Package
jline.opt.results

Packages that use jline.opt.results

Package	Description
jline.opt
jline.opt.decomposition
jline.opt.objectives
jline.opt.pareto
jline.opt.results
jline.opt.sensitivity
jline.opt.solver

Classes in jline.opt.results used by jline.opt

Class	Description
EvaluationResult	Result from evaluating a LINE network model via SolverAUTO, holding the per-(station, class) performance metrics the optimizer reads.
OptimizationResult	Result from a single optimization run.

Classes in jline.opt.results used by jline.opt.decomposition

Class	Description
WorkflowResult	Result from a decomposed workflow optimization: results from each subproblem and overall fixed-point convergence info.

Classes in jline.opt.results used by jline.opt.objectives

Class	Description
EvaluationResult	Result from evaluating a LINE network model via SolverAUTO, holding the per-(station, class) performance metrics the optimizer reads.

Classes in jline.opt.results used by jline.opt.pareto

Class	Description
OptimizationResult	Result from a single optimization run.

Classes in jline.opt.results used by jline.opt.results

Class	Description
OptimizationResult	Result from a single optimization run.
SensitivityData	Analytic performance sensitivities for a product-form model, mirroring the nested dict returned by native-Python compute_model_sensitivities: metric kind ('RespT'|'QLen'|'Tput'|'Util') -> metric key -> parameter key -> d(metric)/d(parameter).
SubProblemResult	Result from solving one subproblem in a decomposition workflow.

Classes in jline.opt.results used by jline.opt.sensitivity

Class	Description
SensitivityData	Analytic performance sensitivities for a product-form model, mirroring the nested dict returned by native-Python compute_model_sensitivities: metric kind ('RespT'|'QLen'|'Tput'|'Util') -> metric key -> parameter key -> d(metric)/d(parameter).

Classes in jline.opt.results used by jline.opt.solver

Class	Description
OptimizationResult	Result from a single optimization run.