Package jline.api.pfqn.mva
Class Pfqn_conwayms
java.lang.Object
jline.api.pfqn.mva.Pfqn_conwayms
Conway-Maxwell approximate MVA for multi-server queueing networks.
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Method Summary
Modifier and TypeMethodDescriptionstatic Ret.pfqnAMVAMSpfqn_conwayms(Matrix L, Matrix N, Matrix Z) static Ret.pfqnAMVAMSpfqn_conwayms(Matrix L, Matrix N, Matrix Z, int[] nservers) static Ret.pfqnAMVAMSpfqn_conwayms(Matrix L, Matrix N, Matrix Z, int[] nservers, SchedStrategy[] type, double tol, int maxiter) static Ret.LinearizerResultpfqn_conwayms_core(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, SchedStrategy[] type, double tol, int maxiter) static Ret.pfqnEstimatepfqn_conwayms_estimate(int M, int R, Matrix N_1, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, Matrix W) static Ret.LinearizerResultpfqn_conwayms_forwardmva(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, SchedStrategy[] type, MatrixCell Q_1, MatrixCell P_1, Matrix PB_1, Matrix T_1)
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Method Details
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pfqn_conwayms
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pfqn_conwayms
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pfqn_conwayms
public static Ret.pfqnAMVAMS pfqn_conwayms(Matrix L, Matrix N, Matrix Z, int[] nservers, SchedStrategy[] type, double tol, int maxiter) -
pfqn_conwayms_core
public static Ret.LinearizerResult pfqn_conwayms_core(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, SchedStrategy[] type, double tol, int maxiter) -
pfqn_conwayms_estimate
public static Ret.pfqnEstimate pfqn_conwayms_estimate(int M, int R, Matrix N_1, int[] nservers, Matrix Q, Matrix P, Matrix PB, MatrixCell Delta, Matrix W) -
pfqn_conwayms_forwardmva
public static Ret.LinearizerResult pfqn_conwayms_forwardmva(Matrix L, int M, int R, Matrix N_1, Matrix Z, int[] nservers, SchedStrategy[] type, MatrixCell Q_1, MatrixCell P_1, Matrix PB_1, Matrix T_1)
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