edu.stanford.nlp.optimization
Class QNMinimizer.QNInfo

java.lang.Object
  extended by edu.stanford.nlp.optimization.QNMinimizer.QNInfo
Enclosing class:
QNMinimizer

public class QNMinimizer.QNInfo
extends Object


Field Summary
 double[] d
           
 QNMinimizer.eScaling scaleOpt
           
 
Constructor Summary
QNMinimizer.QNInfo()
           
QNMinimizer.QNInfo(int size)
           
QNMinimizer.QNInfo(List<double[]> sList, List<double[]> yList)
           
 
Method Summary
 double[] applyInitialHessian(double[] x)
           
 void clear()
           
 void free()
           
 double getRho(int ind)
           
 double[] getS(int ind)
           
 double[] getY(int ind)
           
 void setHistory(List<double[]> sList, List<double[]> yList)
           
 int size()
           
 int update(double[] newX, double[] x, double[] newGrad, double[] grad, double step)
           
 int update(double[] newS, double[] newY, double yy, double sy, double sg, double step)
           
 void useDiagonalScaling()
           
 void useScalarScaling()
           
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

d

public double[] d

scaleOpt

public QNMinimizer.eScaling scaleOpt
Constructor Detail

QNMinimizer.QNInfo

public QNMinimizer.QNInfo(int size)

QNMinimizer.QNInfo

public QNMinimizer.QNInfo()

QNMinimizer.QNInfo

public QNMinimizer.QNInfo(List<double[]> sList,
                          List<double[]> yList)
Method Detail

size

public int size()

getRho

public double getRho(int ind)

getS

public double[] getS(int ind)

getY

public double[] getY(int ind)

useDiagonalScaling

public void useDiagonalScaling()

useScalarScaling

public void useScalarScaling()

free

public void free()

clear

public void clear()

setHistory

public void setHistory(List<double[]> sList,
                       List<double[]> yList)

applyInitialHessian

public double[] applyInitialHessian(double[] x)

update

public int update(double[] newX,
                  double[] x,
                  double[] newGrad,
                  double[] grad,
                  double step)
           throws QNMinimizer.SurpriseConvergence
Throws:
QNMinimizer.SurpriseConvergence

update

public int update(double[] newS,
                  double[] newY,
                  double yy,
                  double sy,
                  double sg,
                  double step)


Stanford NLP Group