Uses of Class
jline.io.Ret.lossnMCI
Packages that use Ret.lossnMCI
Package
Description
APIs for stochastic models of loss networks and blocking systems.
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Uses of Ret.lossnMCI in jline.api.lossn
Methods in jline.api.lossn that return Ret.lossnMCIModifier and TypeMethodDescriptionstatic Ret.lossnMCILossn_mci.lossn_mci(Matrix nuVec, Matrix Amat, Matrix cVec, int samples, Matrix gammaVec, long seed, double alpha) Monte Carlo importance-sampling summation for loss networks.static Ret.lossnMCILossn_mci.lossn_mci(Matrix nuVec, Matrix Amat, Matrix cVec, int samples, Matrix gammaVec, long seed, double alpha, Matrix revenueVec) Monte Carlo importance-sampling summation for loss networks, with the revenue sensitivity when a revenue vector is given.static Ret.lossnMCILossn_mci.lossn_mci(Matrix nuVec, Matrix Amat, Matrix cVec, Lossn_mci.Options options) Monte Carlo importance-sampling summation for loss networks.