JacobiSVD_basic.cpp
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1 MatrixXf m = MatrixXf::Random(3,2);
2 cout << "Here is the matrix m:" << endl << m << endl;
3 JacobiSVD<MatrixXf> svd(m, ComputeThinU | ComputeThinV);
4 cout << "Its singular values are:" << endl << svd.singularValues() << endl;
5 cout << "Its left singular vectors are the columns of the thin U matrix:" << endl << svd.matrixU() << endl;
6 cout << "Its right singular vectors are the columns of the thin V matrix:" << endl << svd.matrixV() << endl;
7 Vector3f rhs(1, 0, 0);
8 cout << "Now consider this rhs vector:" << endl << rhs << endl;
9 cout << "A least-squares solution of m*x = rhs is:" << endl << svd.solve(rhs) << endl;
cout<< "Here is the matrix m:"<< endl<< m<< endl;JacobiSVD< MatrixXf > svd(m, ComputeThinU|ComputeThinV)
MatrixXf m


gtsam
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autogenerated on Tue Jul 4 2023 02:34:29