source:
pacpussensors/trunk/Vislab/lib3dv/eigen/doc/snippets/SelfAdjointEigenSolver_compute_MatrixType2.cpp@
136
| Last change on this file since 136 was 136, checked in by , 7 years ago | |
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| File size: 396 bytes | |
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| 1 | MatrixXd X = MatrixXd::Random(5,5); |
| 2 | MatrixXd A = X * X.transpose(); |
| 3 | X = MatrixXd::Random(5,5); |
| 4 | MatrixXd B = X * X.transpose(); |
| 5 | |
| 6 | GeneralizedSelfAdjointEigenSolver<MatrixXd> es(A,B,EigenvaluesOnly); |
| 7 | cout << "The eigenvalues of the pencil (A,B) are:" << endl << es.eigenvalues() << endl; |
| 8 | es.compute(B,A,false); |
| 9 | cout << "The eigenvalues of the pencil (B,A) are:" << endl << es.eigenvalues() << endl; |
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