1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64
|
/*
* Copyright (c) 2009-2018, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* 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.
*/
package org.ejml.example;
import org.ejml.UtilEjml;
import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.CommonOps_DDRM;
import org.ejml.dense.row.MatrixFeatures_DDRM;
import org.ejml.dense.row.RandomMatrices_DDRM;
import org.junit.Test;
import java.util.Random;
import static org.junit.Assert.assertTrue;
/**
* @author Peter Abeles
*/
public class TestQRExampleOperations {
Random rand = new Random(23423);
@Test
public void basic() {
checkMatrix(7,5);
checkMatrix(5,5);
checkMatrix(7,7);
}
private void checkMatrix( int numRows , int numCols ) {
DMatrixRMaj A = RandomMatrices_DDRM.rectangle(numRows,numCols,-1,1,rand);
QRExampleOperations alg = new QRExampleOperations();
alg.decompose(A);
DMatrixRMaj Q = alg.getQ();
DMatrixRMaj R = alg.getR();
DMatrixRMaj A_found = new DMatrixRMaj(numRows,numCols);
CommonOps_DDRM.mult(Q,R,A_found);
assertTrue( MatrixFeatures_DDRM.isIdentical(A,A_found, UtilEjml.TEST_F64));
}
}
|