Package jline.api.pfqn.mva

Class Pfqn_bs

java.lang.Object

jline.api.pfqn.mva.Pfqn_bs

public final class Pfqn_bs
extends Object

Method Summary

Modifier and Type	Method	Description
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N)
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter)
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0)
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type)
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type, Matrix weight)	Bard-Schweitzer approximate mean value analysis algorithm with optional weighted priorities.
static Ret.pfqnAMVA	pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, Matrix weight)	Bard-Schweitzer approximate mean value analysis algorithm with weighted priorities.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N)

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z)

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z,
 double tol,
 int maxiter)

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z,
 double tol,
 int maxiter,
 Matrix QN0)

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z,
 double tol,
 int maxiter,
 Matrix QN0,
 Matrix weight)

Bard-Schweitzer approximate mean value analysis algorithm with weighted priorities.

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z,
 double tol,
 int maxiter,
 Matrix QN0,
 SchedStrategy[] type)

pfqn_bs

public static Ret.pfqnAMVA pfqn_bs(Matrix L,
 Matrix N,
 Matrix Z,
 double tol,
 int maxiter,
 Matrix QN0,
 SchedStrategy[] type,
 Matrix weight)

Bard-Schweitzer approximate mean value analysis algorithm with optional weighted priorities.

Parameters:

tol - convergence tolerance; NaN selects the published Linearizer termination test of Chandy and Neuse, Commun. ACM 25(2), 1982, i.e. the cutoff Pfqn_cntol.pfqn_cntol(N) applied to max_{i,r}|dQ(i,r)|/N_r instead of the relative-change metric used by default. This is the test LQNS runs, since it sets it in SchweitzerCommon.