commons-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From t.@apache.org
Subject svn commit: r1364784 - /commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java
Date Mon, 23 Jul 2012 20:20:07 GMT
Author: tn
Date: Mon Jul 23 20:20:07 2012
New Revision: 1364784

URL: http://svn.apache.org/viewvc?rev=1364784&view=rev
Log:
Use non-deprecated ctor.

Modified:
    commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java

Modified: commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java
URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java?rev=1364784&r1=1364783&r2=1364784&view=diff
==============================================================================
--- commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java
(original)
+++ commons/proper/math/trunk/src/test/java/org/apache/commons/math3/linear/EigenSolverTest.java
Mon Jul 23 20:20:07 2012
@@ -19,7 +19,6 @@ package org.apache.commons.math3.linear;
 
 import java.util.Random;
 
-import org.apache.commons.math3.util.Precision;
 import org.apache.commons.math3.exception.MathIllegalArgumentException;
 
 import org.junit.Test;
@@ -33,7 +32,7 @@ public class EigenSolverTest {
         Random r = new Random(9994100315209l);
         RealMatrix m =
             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());
         try {
             es.getInverse();
@@ -49,7 +48,7 @@ public class EigenSolverTest {
         Random r = new Random(9994100315209l);
         RealMatrix m =
             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());
         RealMatrix inverse = es.getInverse();
         RealMatrix error =
@@ -65,7 +64,7 @@ public class EigenSolverTest {
         };
         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]);
         try {
             es.solve(b);
@@ -98,7 +97,7 @@ public class EigenSolverTest {
                 { 40,  2, 21,  9, 51, 19 },
                 { 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[][] {
                 { 1561, 269, 188 },
                 {   69, -21,  70 },



Mime
View raw message