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7b0c4102fa
construction of generic expressions working for both dense and sparse matrix. A nicer solution would be to use CwiseBinaryOp for any kind of matrix. To this end we either need to change the overall design so that the base class(es) depends on the kind of matrix, or we could add a template parameter to each expression type (e.g., int Kind = ei_traits<MatrixType>::Kind) allowing to specialize each expression for each kind of matrix. * Extend AutoDiffScalar to work with sparse vector expression for the derivatives. |
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.. | ||
src | ||
AdolcForward | ||
AlignedVector3 | ||
AutoDiff | ||
BVH | ||
CMakeLists.txt | ||
IterativeSolvers | ||
MatrixFunctions | ||
MoreVectorization |