Package jline.opt.variables

Class ServiceRate

java.lang.Object

jline.opt.variables.DecisionVariable

jline.opt.variables.ServiceRate

public class ServiceRate
extends DecisionVariable

Optimize the exponential processing rate of a station for a job class. Encodes a continuous rate in [minRate, maxRate]. This is a continuous (differentiable) variable, so it exposes paramKey() and decodeJacobian(double[]) for the analytic-gradient path. Mirrors native-Python ServiceRate.

Field Summary

Fields inherited from class jline.opt.variables.DecisionVariable

dimension, name

Constructor Summary

Constructors

Constructor	Description
ServiceRate(ServiceStation station, JobClass jobclass, double minRate, double maxRate)
ServiceRate(ServiceStation station, JobClass jobclass, double minRate, double maxRate, String name)

Method Summary

Modifier and Type	Method	Description
void	apply(Network model, Object value)	Apply a decoded value to a (copied) model.
Object	decode(double[] x)	Decode the encoded slice (length DecisionVariable.getDimension()) to a value.
double	decodeJacobian(double[] x)	d(decoded rate)/d(encoded x): constant slope of the linear map.
double[][]	getBounds()	Bounds per encoded dimension, each {low, high}.
JobClass	getJobClass()
ServiceStation	getStation()
String	getVariableType()	Type identifier used by decomposition and the gradient dispatcher.
String	paramKey()	Sensitivity parameter key this variable controls.

Methods inherited from class jline.opt.variables.DecisionVariable

connectionMatrix, getDimension, getName, indexOfNode, resolveClass, resolveNode, unitBounds

Methods inherited from class java.lang.Object

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

Constructor Details

ServiceRate

public ServiceRate(ServiceStation station,
 JobClass jobclass,
 double minRate,
 double maxRate)

ServiceRate

public ServiceRate(ServiceStation station,
 JobClass jobclass,
 double minRate,
 double maxRate,
 String name)

Method Details

getStation

public ServiceStation getStation()

getJobClass

public JobClass getJobClass()

getBounds

public double[][] getBounds()

Description copied from class: DecisionVariable

Bounds per encoded dimension, each {low, high}. Standard is {0,1}.

Specified by:

getBounds in class DecisionVariable

decode

public Object decode(double[] x)

Description copied from class: DecisionVariable

Decode the encoded slice (length DecisionVariable.getDimension()) to a value.

Specified by:

decode in class DecisionVariable

apply

public void apply(Network model,
 Object value)

Description copied from class: DecisionVariable

Apply a decoded value to a (copied) model.

Specified by:

apply in class DecisionVariable

getVariableType

public String getVariableType()

Description copied from class: DecisionVariable

Type identifier used by decomposition and the gradient dispatcher.

Specified by:

getVariableType in class DecisionVariable

paramKey

public String paramKey()

Sensitivity parameter key this variable controls.

decodeJacobian

public double decodeJacobian(double[] x)

d(decoded rate)/d(encoded x): constant slope of the linear map.