/*
* Encog(tm) Core Unit Tests v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.matrix;
import org.encog.mathutil.matrices.Matrix;
import org.encog.mathutil.matrices.decomposition.CholeskyDecomposition;
import org.encog.mathutil.matrices.decomposition.EigenvalueDecomposition;
import org.encog.mathutil.matrices.decomposition.QRDecomposition;
import org.encog.mathutil.matrices.decomposition.SingularValueDecomposition;
import junit.framework.Assert;
import junit.framework.TestCase;
public class TestDecomp extends TestCase {
public void testSVD()
{
double m[][] = {
{1,2,3,4},
{5,6,7,8},
{9,10,11,12},
{13,14,15,16} };
Matrix matrix = new Matrix(m);
SingularValueDecomposition svd = new SingularValueDecomposition(matrix);
Assert.assertEquals(2147483647, (int)(svd.cond()) );
double[] d = svd.getSingularValues();
Assert.assertEquals(4, d.length);
}
public void testCholesky()
{
double m1[][] = {
{1,0,0,0},
{0,1,0,0},
{0,0,1,0},
{0,0,0,1} };
Matrix matrix1 = new Matrix(m1);
double m2[][] = {
{17,18,19,20},
{21,22,23,24},
{25,27,28,29},
{37,33,31,30} };
Matrix matrix2 = new Matrix(m2);
CholeskyDecomposition c = new CholeskyDecomposition(matrix1);
c.solve(matrix2);
Matrix mx = c.getL();
Assert.assertEquals(1.0, mx.get(0,0));
Assert.assertEquals(1.0, mx.get(1,1));
Assert.assertEquals(1.0, mx.get(2,2));
Assert.assertEquals(4, mx.getRows());
Assert.assertEquals(4, mx.getCols());
}
public void testEigenvalue()
{
double m1[][] = {
{1,0,0,0},
{0,1,0,0},
{0,0,1,0},
{0,0,0,1} };
Matrix matrix1 = new Matrix(m1);
EigenvalueDecomposition e = new EigenvalueDecomposition(matrix1);
double[] d1 = e.getImagEigenvalues();
double[] d2 = e.getRealEigenvalues();
Matrix mx = e.getV();
Assert.assertEquals(1.0, mx.get(0,0));
Assert.assertEquals(1.0, mx.get(1,1));
Assert.assertEquals(1.0, mx.get(2,2));
Assert.assertEquals(4, mx.getRows());
Assert.assertEquals(4, mx.getCols());
}
public void testEigenvalue2()
{
double m1[][] = {
{1,0,0,0},
{0,1,0,0},
{0,0,1,0},
{1,0,0,1} };
Matrix matrix1 = new Matrix(m1);
EigenvalueDecomposition e = new EigenvalueDecomposition(matrix1);
double[] d1 = e.getImagEigenvalues();
double[] d2 = e.getRealEigenvalues();
Matrix mx = e.getV();
Assert.assertEquals(0.0, mx.get(0,0));
Assert.assertEquals(0.0, mx.get(1,1));
Assert.assertEquals(1.0, mx.get(2,2));
Assert.assertEquals(4, mx.getRows());
Assert.assertEquals(4, mx.getCols());
}
public void testQR()
{
double m1[][] = {
{1,0,0,0},
{0,1,0,0},
{0,0,1,0},
{0,0,0,1} };
Matrix matrix1 = new Matrix(m1);
double m2[][] = {
{17,18,19,20},
{21,22,23,24},
{25,27,28,29},
{37,33,31,30} };
Matrix matrix2 = new Matrix(m2);
QRDecomposition c = new QRDecomposition(matrix1);
Matrix mx = c.solve(matrix2);
Assert.assertEquals(17.0, mx.get(0,0));
Assert.assertEquals(22.0, mx.get(1,1));
Assert.assertEquals(28.0, mx.get(2,2));
Assert.assertEquals(4, mx.getRows());
Assert.assertEquals(4, mx.getCols());
}
// QRDecomposition
}