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Use non-deprecated ctor. 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1364784 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Thomas Neidhart 2012-07-23 20:20:07 +00:00
parent f20ae062d3
commit 2166fdac3d
1 changed files with 4 additions and 5 deletions
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9
src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java
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@ -19,7 +19,6 @@ package org.apache.commons.math3.linear;
import java.util.Random; import java.util.Random;
import org.apache.commons.math3.util.Precision;
import org.apache.commons.math3.exception.MathIllegalArgumentException; import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.junit.Test; import org.junit.Test;
@ -33,7 +32,7 @@ public class EigenSolverTest {
Random r = new Random(9994100315209l); Random r = new Random(9994100315209l);
RealMatrix m = RealMatrix m =
EigenDecompositionTest.createTestMatrix(r, new double[] { 1.0, 0.0, -1.0, -2.0, -3.0 }); EigenDecompositionTest.createTestMatrix(r, new double[] { 1.0, 0.0, -1.0, -2.0, -3.0 });
DecompositionSolver es = new EigenDecomposition(m, Precision.SAFE_MIN).getSolver(); DecompositionSolver es = new EigenDecomposition(m).getSolver();
Assert.assertFalse(es.isNonSingular()); Assert.assertFalse(es.isNonSingular());
try { try {
es.getInverse(); es.getInverse();
@ -49,7 +48,7 @@ public class EigenSolverTest {
Random r = new Random(9994100315209l); Random r = new Random(9994100315209l);
RealMatrix m = RealMatrix m =
EigenDecompositionTest.createTestMatrix(r, new double[] { 1.0, 0.5, -1.0, -2.0, -3.0 }); EigenDecompositionTest.createTestMatrix(r, new double[] { 1.0, 0.5, -1.0, -2.0, -3.0 });
DecompositionSolver es = new EigenDecomposition(m, Precision.SAFE_MIN).getSolver(); DecompositionSolver es = new EigenDecomposition(m).getSolver();
Assert.assertTrue(es.isNonSingular()); Assert.assertTrue(es.isNonSingular());
RealMatrix inverse = es.getInverse(); RealMatrix inverse = es.getInverse();
RealMatrix error = RealMatrix error =
@ -65,7 +64,7 @@ public class EigenSolverTest {
}; };
final RealMatrix matrix = EigenDecompositionTest.createTestMatrix(new Random(35992629946426l), refValues); final RealMatrix matrix = EigenDecompositionTest.createTestMatrix(new Random(35992629946426l), refValues);
DecompositionSolver es = new EigenDecomposition(matrix, Precision.SAFE_MIN).getSolver(); DecompositionSolver es = new EigenDecomposition(matrix).getSolver();
RealMatrix b = MatrixUtils.createRealMatrix(new double[2][2]); RealMatrix b = MatrixUtils.createRealMatrix(new double[2][2]);
try { try {
es.solve(b); es.solve(b);
@ -98,7 +97,7 @@ public class EigenSolverTest {
{ 40, 2, 21, 9, 51, 19 }, { 40, 2, 21, 9, 51, 19 },
{ 14, -1, 8, 0, 19, 14 } { 14, -1, 8, 0, 19, 14 }
}); });
DecompositionSolver es = new EigenDecomposition(m, Precision.SAFE_MIN).getSolver(); DecompositionSolver es = new EigenDecomposition(m).getSolver();
RealMatrix b = MatrixUtils.createRealMatrix(new double[][] { RealMatrix b = MatrixUtils.createRealMatrix(new double[][] {
{ 1561, 269, 188 }, { 1561, 269, 188 },
{ 69, -21, 70 }, { 69, -21, 70 },