| ArrayOfComparableChains(T baseChain) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| ArrayOfComparableChains(T baseChain, PointSetRandomization rand, MultiDimSort< T > sort) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| calcMeanPerf() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| getChains() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| getN() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| getPerformances() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| getRandomization() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| getSort() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| initialStates() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| makeCopies(int n) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| performancePerRun | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| setRandomization(PointSetRandomization rand) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| setSort(MultiDimSort< T > sort) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulArrayRQMC(PointSet p, PointSetRandomization rand, MultiDimSort< T > sort, int sortCoordPts, int numSteps) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulArrayRQMC(PointSet p, PointSetRandomization rand, MultiDimSort< T > sort, int numSteps) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulArrayRQMC(PointSet p, int numSteps) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulOneStepArrayRQMC(PointSet p, PointSetRandomization rand, MultiDimSort< T > sort, int sortCoordPts) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulOneStepArrayRQMC(PointSet p) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulReplicatesArrayRQMC(PointSet p, PointSetRandomization rand, MultiDimSort< T > sort, int sortCoordPts, int numSteps, int m, Tally statReps) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| simulReplicatesArrayRQMCFormat(PointSet p, PointSetRandomization rand, MultiDimSort< T > sort, int sortCoordPts, int numSteps, int m, Tally statReps) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| sortChains() | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| sortNotStoppedChains(MultiDimSort< T > sort) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| testVarianceRateFormat(PointSet[] pointSets, PointSetRandomization rand, MultiDimSort< T > sort, int sortCoordPts, int numSteps, int m, double varMC, String filenamePlot, String methodLabel) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| testVarianceRateFormat(RQMCPointSet[] rqmcPts, MultiDimSort< T > sort, int sortCoordPts, int numSteps, int m, double varMC, String filenamePlot, String methodLabel) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |
| varianceImprovementFormat(double varRQMC, double varMC) | umontreal.ssj.markovchainrqmc.ArrayOfComparableChains< T extends MarkovChainComparable > | |