Package jline.api.mapqn
package jline.api.mapqn
MAP queueing network analysis algorithms.
This package implements analysis algorithms for queueing networks with Markovian Arrival Processes (MAP), supporting more general arrival patterns than standard Poisson processes.
- Since:
- LINE 2.0
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ClassDescriptionParameters for linear reduction models with phases.Horizontal-cut mean value analysis for a MAP server (SolverMVA method 'amva.mapqn').X: class throughputs; Qq: mean queue lengths at the MAP station (job in service included); U: busy probability per class, X E[S]; ES: mean service times; pi: joint phase law at N (class R fastest).Implementation of bnd_linearreduction_new.mod linear program.Implementation of bnd_mvaversion.mod linear program: the MAP-AMVA optimization program of G.Implementation of bnd_linearreduction_pf.mod linear program This is the Product Form version without phasesParameters for the Product Form linear reduction modelImplementation of bnd_quadraticreduction.mod linear program.Implementation of bnd_quadraticreduction_delay.mod linear program.Parameters for the quadratic reduction delay model.Implementation of bnd_quadraticreduction_ld.mod linear program (load-dependent).Parameters for the quadratic reduction load-dependent model.Base class for representing MAPQN Linear Programming modelsSmooth minimisation over a polytope, by proximal projected gradient with an OSQP projection oracle.Objective gradient at x, accumulated into gradOut (pre-zeroed by the caller).Objective value at x.Base class for MAPQN model parameters.Factory class for creating Mapqn_parameters from NetworkStruct.Quadratic-reduction (QR) utilization bounds for closed MAP queueing networks under the blocking-after-service (BAS) protocol.Parameters for QR Bounds BAS (Blocking After Service) model.The assembled BAS constraint system, so a second objective can be optimized over the SAME polytope without a second transcription of the fifteen families.Parameters for QR Bounds RSRD (Repetitive Service Random Destination) model.Minimum-mutual-information, maximum-entropy and tree-reweighted (Bethe) bounds on the BAS-blocking polytope, the JAR twin of MATLAB
qrf_bas_mmi.m/qrf_bas_mem.m/qrf_bas_bethe.mand of native Pythonapi/mapqn/qrf_bas_nlp.py.Solution returned by Mapqn LP solvers.Parameters for MVA version models.