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author | Benoit Jacob <jacob.benoit.1@gmail.com> | 2010-10-14 10:14:43 -0400 |
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committer | Benoit Jacob <jacob.benoit.1@gmail.com> | 2010-10-14 10:14:43 -0400 |
commit | 8f0e80fe304ad34b520a869ae58bbff8b64c63f2 (patch) | |
tree | 5c2cc43f147811448899955c5fe86b340ed7aee6 /doc/snippets/JacobiSVD_basic.cpp | |
parent | 47197065da5191824bad8418d9d19bdd76febaab (diff) |
JacobiSVD:
* fix preallocating constructors, allocate U and V of the right size for computation options
* complete documentation and internal comments
* improve unit test, test inf/nan values
Diffstat (limited to 'doc/snippets/JacobiSVD_basic.cpp')
-rw-r--r-- | doc/snippets/JacobiSVD_basic.cpp | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/doc/snippets/JacobiSVD_basic.cpp b/doc/snippets/JacobiSVD_basic.cpp new file mode 100644 index 000000000..ab24b9bca --- /dev/null +++ b/doc/snippets/JacobiSVD_basic.cpp @@ -0,0 +1,9 @@ +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; |