MATH-1134

Instance fields made "final".


git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1606940 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Gilles Sadowski 2014-06-30 22:23:16 +00:00
parent 41b4ca622c
commit d385c90c2e
2 changed files with 104 additions and 140 deletions

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@ -73,6 +73,10 @@ Users are encouraged to upgrade to this version as this release not
2. A few methods in the FastMath class are in fact slower that their
counterpart in either Math or StrictMath (cf. MATH-740 and MATH-901).
">
<action dev="erans" type="fix" issue="MATH-1134">
"BicubicSplineInterpolatingFunction": all fields made final and initialized in
the constructor.
</action>
<action dev="psteitz" type="fix" issue="MATH-984">
Constrained EmpiricalDistribution sample/getNextValue methods to return
values within the range of the data; correctly linked RandomGenerator to

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@ -66,7 +66,7 @@ public class BicubicSplineInterpolatingFunction
/** Set of cubic splines patching the whole data grid */
private final BicubicSplineFunction[][] splines;
/**
* Partial derivatives
* Partial derivatives.
* The value of the first index determines the kind of derivatives:
* 0 = first partial derivatives wrt x
* 1 = first partial derivatives wrt y
@ -74,7 +74,7 @@ public class BicubicSplineInterpolatingFunction
* 3 = second partial derivatives wrt y
* 4 = cross partial derivatives
*/
private BivariateFunction[][][] partialDerivatives = null;
private final BivariateFunction[][][] partialDerivatives;
/**
* @param x Sample values of the x-coordinate, in increasing order.
@ -156,6 +156,21 @@ public class BicubicSplineInterpolatingFunction
splines[i][j] = new BicubicSplineFunction(computeSplineCoefficients(beta));
}
}
// Compute all partial derivatives.
partialDerivatives = new BivariateFunction[5][lastI][lastJ];
for (int i = 0; i < lastI; i++) {
for (int j = 0; j < lastJ; j++) {
final BicubicSplineFunction bcs = splines[i][j];
partialDerivatives[0][i][j] = bcs.partialDerivativeX();
partialDerivatives[1][i][j] = bcs.partialDerivativeY();
partialDerivatives[2][i][j] = bcs.partialDerivativeXX();
partialDerivatives[3][i][j] = bcs.partialDerivativeYY();
partialDerivatives[4][i][j] = bcs.partialDerivativeXY();
}
}
}
/**
@ -267,10 +282,6 @@ public class BicubicSplineInterpolatingFunction
*/
private double partialDerivative(int which, double x, double y)
throws OutOfRangeException {
if (partialDerivatives == null) {
computePartialDerivatives();
}
final int i = searchIndex(x, xval);
final int j = searchIndex(y, yval);
@ -280,26 +291,6 @@ public class BicubicSplineInterpolatingFunction
return partialDerivatives[which][i][j].value(xN, yN);
}
/**
* Compute all partial derivatives.
*/
private void computePartialDerivatives() {
final int lastI = xval.length - 1;
final int lastJ = yval.length - 1;
partialDerivatives = new BivariateFunction[5][lastI][lastJ];
for (int i = 0; i < lastI; i++) {
for (int j = 0; j < lastJ; j++) {
final BicubicSplineFunction f = splines[i][j];
partialDerivatives[0][i][j] = f.partialDerivativeX();
partialDerivatives[1][i][j] = f.partialDerivativeY();
partialDerivatives[2][i][j] = f.partialDerivativeXX();
partialDerivatives[3][i][j] = f.partialDerivativeYY();
partialDerivatives[4][i][j] = f.partialDerivativeXY();
}
}
}
/**
* @param c Coordinate.
* @param val Coordinate samples.
@ -382,139 +373,36 @@ public class BicubicSplineInterpolatingFunction
*
* @version $Id$
*/
class BicubicSplineFunction
implements BivariateFunction {
class BicubicSplineFunction implements BivariateFunction {
/** Number of points. */
private static final short N = 4;
/** Coefficients */
private final double[][] a;
/** First partial derivative along x. */
private BivariateFunction partialDerivativeX;
private final BivariateFunction partialDerivativeX;
/** First partial derivative along y. */
private BivariateFunction partialDerivativeY;
private final BivariateFunction partialDerivativeY;
/** Second partial derivative along x. */
private BivariateFunction partialDerivativeXX;
private final BivariateFunction partialDerivativeXX;
/** Second partial derivative along y. */
private BivariateFunction partialDerivativeYY;
private final BivariateFunction partialDerivativeYY;
/** Second crossed partial derivative. */
private BivariateFunction partialDerivativeXY;
private final BivariateFunction partialDerivativeXY;
/**
* Simple constructor.
* @param a Spline coefficients
* @param coeff Spline coefficients
*/
public BicubicSplineFunction(double[] a) {
this.a = new double[N][N];
public BicubicSplineFunction(double[] coeff) {
a = new double[N][N];
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
this.a[i][j] = a[i * N + j];
}
}
}
/**
* {@inheritDoc}
*/
public double value(double x, double y) {
if (x < 0 || x > 1) {
throw new OutOfRangeException(x, 0, 1);
}
if (y < 0 || y > 1) {
throw new OutOfRangeException(y, 0, 1);
}
final double x2 = x * x;
final double x3 = x2 * x;
final double[] pX = {1, x, x2, x3};
final double y2 = y * y;
final double y3 = y2 * y;
final double[] pY = {1, y, y2, y3};
return apply(pX, pY, a);
}
/**
* Compute the value of the bicubic polynomial.
*
* @param pX Powers of the x-coordinate.
* @param pY Powers of the y-coordinate.
* @param coeff Spline coefficients.
* @return the interpolated value.
*/
private double apply(double[] pX, double[] pY, double[][] coeff) {
double result = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
result += coeff[i][j] * pX[i] * pY[j];
a[i][j] = coeff[i * N + j];
}
}
return result;
}
// Compute all partial derivatives functions.
/**
* @return the partial derivative wrt {@code x}.
*/
public BivariateFunction partialDerivativeX() {
if (partialDerivativeX == null) {
computePartialDerivatives();
}
return partialDerivativeX;
}
/**
* @return the partial derivative wrt {@code y}.
*/
public BivariateFunction partialDerivativeY() {
if (partialDerivativeY == null) {
computePartialDerivatives();
}
return partialDerivativeY;
}
/**
* @return the second partial derivative wrt {@code x}.
*/
public BivariateFunction partialDerivativeXX() {
if (partialDerivativeXX == null) {
computePartialDerivatives();
}
return partialDerivativeXX;
}
/**
* @return the second partial derivative wrt {@code y}.
*/
public BivariateFunction partialDerivativeYY() {
if (partialDerivativeYY == null) {
computePartialDerivatives();
}
return partialDerivativeYY;
}
/**
* @return the second partial cross-derivative.
*/
public BivariateFunction partialDerivativeXY() {
if (partialDerivativeXY == null) {
computePartialDerivatives();
}
return partialDerivativeXY;
}
/**
* Compute all partial derivatives functions.
*/
private void computePartialDerivatives() {
final double[][] aX = new double[N][N];
final double[][] aY = new double[N][N];
final double[][] aXX = new double[N][N];
@ -590,4 +478,76 @@ class BicubicSplineFunction
}
};
}
/**
* {@inheritDoc}
*/
public double value(double x, double y) {
if (x < 0 || x > 1) {
throw new OutOfRangeException(x, 0, 1);
}
if (y < 0 || y > 1) {
throw new OutOfRangeException(y, 0, 1);
}
final double x2 = x * x;
final double x3 = x2 * x;
final double[] pX = {1, x, x2, x3};
final double y2 = y * y;
final double y3 = y2 * y;
final double[] pY = {1, y, y2, y3};
return apply(pX, pY, a);
}
/**
* Compute the value of the bicubic polynomial.
*
* @param pX Powers of the x-coordinate.
* @param pY Powers of the y-coordinate.
* @param coeff Spline coefficients.
* @return the interpolated value.
*/
private double apply(double[] pX, double[] pY, double[][] coeff) {
double result = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
result += coeff[i][j] * pX[i] * pY[j];
}
}
return result;
}
/**
* @return the partial derivative wrt {@code x}.
*/
public BivariateFunction partialDerivativeX() {
return partialDerivativeX;
}
/**
* @return the partial derivative wrt {@code y}.
*/
public BivariateFunction partialDerivativeY() {
return partialDerivativeY;
}
/**
* @return the second partial derivative wrt {@code x}.
*/
public BivariateFunction partialDerivativeXX() {
return partialDerivativeXX;
}
/**
* @return the second partial derivative wrt {@code y}.
*/
public BivariateFunction partialDerivativeYY() {
return partialDerivativeYY;
}
/**
* @return the second partial cross-derivative.
*/
public BivariateFunction partialDerivativeXY() {
return partialDerivativeXY;
}
}