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author | Benoit Jacob <jacob.benoit.1@gmail.com> | 2009-02-21 14:30:49 +0000 |
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committer | Benoit Jacob <jacob.benoit.1@gmail.com> | 2009-02-21 14:30:49 +0000 |
commit | 177500f37e8f1416caba5796aea1f6ffbc725fd9 (patch) | |
tree | a910b94d4f71fcb641b2a862b7804a4259d01538 /doc | |
parent | 032880074ed6d416c35e18d90e4d1bf2077a3aa2 (diff) |
fix typo found by markusfroeb (forum)
Diffstat (limited to 'doc')
-rw-r--r-- | doc/C05_TutorialLinearAlgebra.dox | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/C05_TutorialLinearAlgebra.dox b/doc/C05_TutorialLinearAlgebra.dox index 1b584e103..7ff0c048e 100644 --- a/doc/C05_TutorialLinearAlgebra.dox +++ b/doc/C05_TutorialLinearAlgebra.dox @@ -155,7 +155,7 @@ Alternatively, you can construct a named LU decomposition, which allows you to r \code #include <Eigen/LU> MatrixXf A = MatrixXf::Random(20,20); -Eigen::LUDecomposition<MatrixXf> lu(A); +Eigen::LU<MatrixXf> lu(A); cout << "The rank of A is" << lu.rank() << endl; if(lu.isInvertible()) { cout << "A is invertible, its inverse is:" << endl << lu.inverse() << endl; |