Package jline.api.pfqn.ld

Class Pfqn_jdfun

java.lang.Object

jline.api.pfqn.ld.Pfqn_jdfun

public final class Pfqn_jdfun
extends Object

Method Summary

Modifier and Type	Method	Description
static Matrix	pfqn_jdfun(Matrix nvec, List<SerializableFunction<Matrix,Matrix>> jdscaling, int M)	Evaluate joint-dependent (JD) scaling function for the first class.
static Matrix	pfqn_jdfun(Matrix nvec, List<SerializableFunction<Matrix,Matrix>> jdscaling, int M, int classIdx)	Evaluate joint-dependent (JD) scaling function.

Methods inherited from class java.lang.Object

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

Method Details

pfqn_jdfun

public static Matrix pfqn_jdfun(Matrix nvec,
 List<SerializableFunction<Matrix,Matrix>> jdscaling,
 int M)

Evaluate joint-dependent (JD) scaling function for the first class.

Parameters:

nvec - Per-class queue-length values. The values can be continuous.

jdscaling - JD functions indexed by station index, or null if none

M - Number of stations

Returns:

matrix of scaling factors

pfqn_jdfun

public static Matrix pfqn_jdfun(Matrix nvec,
 List<SerializableFunction<Matrix,Matrix>> jdscaling,
 int M,
 int classIdx)

Evaluate joint-dependent (JD) scaling function.

Returns, for every station i, the reciprocal of the joint-dependent scaling eta_i(n_i1, ..., n_iR) evaluated at the per-class population vector nvec(i,:), for class r = classIdx.

jdscaling.get(i) is a function of the joint per-class population vector at station i. It may return either a 1x1 matrix (a scaling shared by every class, as in the flagship min(ni[0],c)), or a length-R row vector of per-class scalings, of which element classIdx is taken (Sauer chain-dependent rate mu_{r,i}(n)). Unlike Pfqn_cdfun, eta may read the joint vector arbitrarily and is non-product-form.

A null entry denotes a station with no joint dependence and is skipped, leaving the neutral factor 1.

Parameters:

nvec - Per-class queue-length values. The values can be continuous.

jdscaling - JD functions indexed by station index, or null if none

M - Number of stations

classIdx - Class index selecting eta_{i,r}

Returns:

matrix of scaling factors