EigenDecompositionTest (Commons Math 3.2 Test API)

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org.apache.commons.math3.linear
Class EigenDecompositionTest

java.lang.Object
  org.apache.commons.math3.linear.EigenDecompositionTest

public class EigenDecompositionTest
extends Object
extends Object

Constructor Summary
`EigenDecompositionTest()`

Method Summary
`protected void`	`checkEigenValues(double[] targetValues, EigenDecomposition ed, double tolerance)` Verifies that the given EigenDecomposition has eigenvalues equivalent to the targetValues, ignoring the order of the values and allowing values to differ by tolerance.
`protected void`	`checkEigenVector(double[] eigenVector, EigenDecomposition ed, double tolerance)` Returns true iff eigenVector is a scalar multiple of one of the columns of ed.getV().
`static RealMatrix`	`createOrthogonalMatrix(Random r, int size)`
`void`	`setUp()`
`void`	`tearDown()`
`void`	`testAEqualVDVt()` test A = VDVt
`void`	`testBigMatrix()` test eigenvalues for a big matrix.
`void`	`testDiagonal()` test diagonal matrix
`void`	`testDimension1()`
`void`	`testDimension2()`
`void`	`testDimension3()`
`void`	`testDimension3MultipleRoot()`
`void`	`testDimension4WithoutSplit()`
`void`	`testDimension4WithSplit()`
`void`	`testDimensions()` test dimensions
`void`	`testDistinctEigenvalues()` Matrix with eigenvalues {2, 0, 12}
`void`	`testEigenvalues()` test eigenvalues
`void`	`testEigenvectors()` test eigenvectors
`void`	`testMath308()`
`void`	`testMath848()`
`void`	`testMathpbx02()`
`void`	`testMathpbx03()`
`void`	`testNormalDistributionUnsymmetricMatrix()`
`void`	`testRandomUnsymmetricMatrix()`
`void`	`testRepeatedEigenvalue()` Matrix with eigenvalues {8, -1, -1}
`void`	`testSquareRoot()`
`void`	`testSquareRootNonPositiveDefinite()`
`void`	`testSquareRootNonSymmetric()`
`void`	`testSymmetric()`
`void`	`testTridiagonal()` test a matrix already in tridiagonal form.
`void`	`testUnsymmetric()`
`void`	`testVOrthogonal()` test that V is orthogonal
`void`	`testZeroDivide()` Verifies operation on indefinite matrix

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

EigenDecompositionTest

public EigenDecompositionTest()

Method Detail

testDimension1

public void testDimension1()

testDimension2

public void testDimension2()

testDimension3

public void testDimension3()

testDimension3MultipleRoot

public void testDimension3MultipleRoot()

testDimension4WithSplit

public void testDimension4WithSplit()

testDimension4WithoutSplit

public void testDimension4WithoutSplit()

testMath308

public void testMath308()

testMathpbx02

public void testMathpbx02()

testMathpbx03

public void testMathpbx03()

testTridiagonal

public void testTridiagonal()

test a matrix already in tridiagonal form.

testDimensions

public void testDimensions()

test dimensions

testEigenvalues

public void testEigenvalues()

test eigenvalues

testBigMatrix

public void testBigMatrix()

test eigenvalues for a big matrix.

testSymmetric

public void testSymmetric()

testSquareRoot

public void testSquareRoot()

testSquareRootNonSymmetric

public void testSquareRootNonSymmetric()

testSquareRootNonPositiveDefinite

public void testSquareRootNonPositiveDefinite()

testUnsymmetric

public void testUnsymmetric()

testRandomUnsymmetricMatrix

public void testRandomUnsymmetricMatrix()

testNormalDistributionUnsymmetricMatrix

public void testNormalDistributionUnsymmetricMatrix()

testMath848

public void testMath848()

testEigenvectors

public void testEigenvectors()

test eigenvectors

testAEqualVDVt

public void testAEqualVDVt()

test A = VDVt

testVOrthogonal

public void testVOrthogonal()

test that V is orthogonal

testDiagonal

public void testDiagonal()

test diagonal matrix

testRepeatedEigenvalue

public void testRepeatedEigenvalue()

Matrix with eigenvalues {8, -1, -1}

testDistinctEigenvalues

public void testDistinctEigenvalues()

Matrix with eigenvalues {2, 0, 12}

testZeroDivide

public void testZeroDivide()

Verifies operation on indefinite matrix

checkEigenValues

protected void checkEigenValues(double[] targetValues,
                                EigenDecomposition ed,
                                double tolerance)

Verifies that the given EigenDecomposition has eigenvalues equivalent to the targetValues, ignoring the order of the values and allowing values to differ by tolerance.

checkEigenVector

protected void checkEigenVector(double[] eigenVector,
                                EigenDecomposition ed,
                                double tolerance)

Returns true iff eigenVector is a scalar multiple of one of the columns of ed.getV(). Does not try linear combinations - i.e., should only be used to find vectors in one-dimensional eigenspaces.

setUp

public void setUp()

tearDown

public void tearDown()

createOrthogonalMatrix

public static RealMatrix createOrthogonalMatrix(Random r,
                                                int size)