source:
pacpussensors/trunk/Vislab/lib3dv/eigen/doc/snippets/SelfAdjointEigenSolver_compute_MatrixType.cpp@
136
| Last change on this file since 136 was 136, checked in by , 7 years ago | |
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| File size: 365 bytes | |
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| 1 | SelfAdjointEigenSolver<MatrixXf> es(4); |
| 2 | MatrixXf X = MatrixXf::Random(4,4); |
| 3 | MatrixXf A = X + X.transpose(); |
| 4 | es.compute(A); |
| 5 | cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl; |
| 6 | es.compute(A + MatrixXf::Identity(4,4)); // re-use es to compute eigenvalues of A+I |
| 7 | cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl; |
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