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