edu.iu.pcl.absurdist.common
Class CorrespondenceVector

java.lang.Object
  |
  +--edu.iu.pcl.absurdist.common.CorrespondenceVector

All Implemented Interfaces:

java.lang.Cloneable

public class CorrespondenceVector

extends java.lang.Object

implements java.lang.Cloneable

An instance of this class can be used to store a correspondence matrix between the two systems, or any other object of the same dimension

Field Summary

double[][]	d
int	m
int	n

Constructor Summary

CorrespondenceVector(double[][] arr)
Creates a CorrepspondenceVector structure "wrapped around" an existing data array.

CorrespondenceVector(int n, int m)
Creates a CorrepspondenceVector structure of the specified sizes

Method Summary

double	allSum()
java.lang.Object	clone() Prepares a copy of this matrix
double[]	colSum() Lazy evaluation for f(b)=C(All,b)=sum_a{C(a,b)}
void	daxpy(double alpha, CorrespondenceVector v) this += alpha * v
double	dp(CorrespondenceVector v) Dot product
void	flush() Flushes the "cached" values of row and column sums.
double[][]	getMatrix()
double[]	rowSum() Lazy evaluation for f(a)=C(a,All)=sum_b{C(a,b)}
double	sum_1_far(int a, int x, int[] neiPlusX)
double	sum_far_1(int a, int x, int[] neiPlusA)
double	sum_far_far(int a, int x, int[] neiPlusA, int[] neiPlusX)

Methods inherited from class java.lang.Object

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

Field Detail

d

public double[][] d

n

public final int n

m

public final int m

Constructor Detail

CorrespondenceVector

public CorrespondenceVector(int n,
                            int m)

Creates a CorrepspondenceVector structure of the specified sizes

CorrespondenceVector

public CorrespondenceVector(double[][] arr)

Creates a CorrepspondenceVector structure "wrapped around" an existing data array. Does *not* copy the data.

Parameters:

arr - a properly allocated rectangualr array.

Method Detail

clone

public java.lang.Object clone()

Prepares a copy of this matrix

Overrides:

clone in class java.lang.Object

flush

public void flush()

Flushes the "cached" values of row and column sums. You must call this method every time when you change the stored values.

getMatrix

public double[][] getMatrix()

rowSum

public double[] rowSum()

Lazy evaluation for f(a)=C(a,All)=sum_b{C(a,b)}

colSum

public double[] colSum()

Lazy evaluation for f(b)=C(All,b)=sum_a{C(a,b)}

allSum

public double allSum()

Returns:

sum_{a,b} C(a,b)

sum_1_far

public double sum_1_far(int a,
                        int x,
                        int[] neiPlusX)

Returns:

sum_{y in B \({x}+Nei(x)) } C(a,x)

sum_far_1

public double sum_far_1(int a,
                        int x,
                        int[] neiPlusA)

Returns:

sum_{b in A \({a}+Nei(a)) } C(b,x)

sum_far_far

public double sum_far_far(int a,
                          int x,
                          int[] neiPlusA,
                          int[] neiPlusX)

Returns:

sum_{b in A \({a}+Nei(a)) } sum_{y in B \({x}+Nei(x)) } C(b,y)

dp

public double dp(CorrespondenceVector v)

Dot product

daxpy

public void daxpy(double alpha,
                  CorrespondenceVector v)

this += alpha * v