source: pacpussensors/trunk/Vislab/lib3dv-1.2.0/lib3dv/eigen/doc/snippets/Tridiagonalization_compute.cpp

Last change on this file was 136, checked in by ldecherf, 8 years ago

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File size: 392 bytes
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1Tridiagonalization<MatrixXf> tri;
2MatrixXf X = MatrixXf::Random(4,4);
3MatrixXf A = X + X.transpose();
4tri.compute(A);
5cout << "The matrix T in the tridiagonal decomposition of A is: " << endl;
6cout << tri.matrixT() << endl;
7tri.compute(2*A); // re-use tri to compute eigenvalues of 2A
8cout << "The matrix T in the tridiagonal decomposition of 2A is: " << endl;
9cout << tri.matrixT() << endl;
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