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Diffstat (limited to 'doc/QuickReference.dox')
| -rw-r--r-- | doc/QuickReference.dox | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/doc/QuickReference.dox b/doc/QuickReference.dox index 467899fb5..70aede0b3 100644 --- a/doc/QuickReference.dox +++ b/doc/QuickReference.dox @@ -62,7 +62,8 @@ Matrix<double, 13, 3> // Fully fixed (static allocation) </div> In most cases, you can simply use one of the convenience typedefs for \ref matrixtypedefs "matrices" and \ref arraytypedefs "arrays". Some examples: -<table class="tutorial_code"> +<table class="example"> +<tr><th>Matrices</th><th>Arrays</th></tr> <tr><td>\code Matrix<float,Dynamic,Dynamic> <=> MatrixXf Matrix<double,Dynamic,1> <=> VectorXd @@ -537,7 +538,8 @@ Read-write access to sub-matrices:</td></tr> \subsection QuickRef_Diagonal Diagonal matrices -<table class="tutorial_code"> +<table class="example"> +<tr><th>Operation</th><th>Code</th></tr> <tr><td> view a vector \link MatrixBase::asDiagonal() as a diagonal matrix \endlink \n </td><td>\code mat1 = vec1.asDiagonal();\endcode @@ -572,7 +574,8 @@ mat3 = mat1 * diag1.inverse() TriangularView gives a view on a triangular part of a dense matrix and allows to perform optimized operations on it. The opposite triangular part is never referenced and can be used to store other information. -<table class="tutorial_code"> +<table class="example"> +<tr><th>Operation</th><th>Code</th></tr> <tr><td> Reference to a triangular with optional \n unit or null diagonal (read/write): @@ -615,7 +618,8 @@ Just as for triangular matrix, you can reference any triangular part of a square matrix and perform special and optimized operations. Again the opposite triangular part is never referenced and can be used to store other information. -<table class="tutorial_code"> +<table class="example"> +<tr><th>Operation</th><th>Code</th></tr> <tr><td> Conversion to a dense matrix: </td><td>\code |