Uses of Class
jline.lib.perm.PermSolver

Packages that use PermSolver

Package	Description
jline.lib.perm	Port of permanent computation algorithms for matrix permanents.

Uses of PermSolver in jline.lib.perm

Subclasses of PermSolver in jline.lib.perm

Modifier and Type	Class	Description
class	AdaPartSampler	Sampling method to approximate the permanent using Adaptive Partitioning (AdaPart).
class	BethePermanent	Implementation of Sum Product Algorithm (SPA) to approximate the Bethe permanent.
class	HeuristicPermanent	Heuristic approximation to the permanent of a positive matrix.
class	HuberLawSampler	Sampling method to approximate the permanent using the Huber-Law bound.
class	NaivePermanent	Implementation of the naive exact permanent computation.
class	Permanent	Implementation of the MATLAB perm.m permanent computation algorithm.
class	RyzerPermanent	Implementation of Ryzer's algorithm to calculate the permanent.

Methods in jline.lib.perm with parameters of type PermSolver

Modifier and Type	Method	Description
Map<int[],NetworkNoThink.MarginalResult>	NetworkNoThink.generateMarginal(PermSolver solver)
Map<int[],NetworkNoThink.MarginalResult>	NetworkNoThink.generateMarginal(PermSolver solver, boolean preprocessing)
Map<int[],NetworkNoThink.MarginalResult>	NetworkThink.generateMarginal(PermSolver solver)
Map<int[],NetworkNoThink.MarginalResult>	NetworkThink.generateMarginal(PermSolver solver, boolean preprocessing)
NetworkNoThink.MarginalResult	NetworkNoThink.marginal(PermSolver solver, int[] state)
NetworkNoThink.MarginalResult	NetworkNoThink.marginal(PermSolver solver, int[] state, boolean preprocessing)
NetworkNoThink.MarginalResult	NetworkThink.marginal(PermSolver solver, int[] state)
NetworkNoThink.MarginalResult	NetworkThink.marginal(PermSolver solver, int[] state, boolean preprocessing)