Eigenvector computation incorrectly returning vectors of NaNs
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Key: MATH-297
URL: https://issues.apache.org/jira/browse/MATH-297
Project: Commons Math
Issue Type: Bug
Affects Versions: 2.0
Reporter: Phil Steitz
Fix For: 2.1
As reported by Axel Kramer on commons-dev, the following test case succeeds,
but should fail:
{code}
public void testEigenDecomposition() {
double[][] m = { { 0.0, 1.0, -1.0 }, { 1.0, 1.0, 0.0 }, { -1.0,0.0, 1.0 } };
RealMatrix rm = new Array2DRowRealMatrix(m);
assertEquals(rm.toString(),
"Array2DRowRealMatrix{{0.0,1.0,-1.0},{1.0,1.0,0.0},{-1.0,0.0,1.0}}");
EigenDecompositionImpl ed = new EigenDecompositionImpl(rm,
MathUtils.SAFE_MIN);
RealVector rv0 = ed.getEigenvector(0);
assertEquals(rv0.toString(), "{(NaN); (NaN); (NaN)}");
}
{code}
ed.getRealEigenvalues() returns the correct eigenvalues (2, 1, -1), but all
three eigenvectors contain only NaNs.
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