Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. More...
#include <SparseSelfAdjointView.h>
Inheritance diagram for SparseSelfAdjointView< MatrixType, UpLo >:Public Member Functions | |
| SparseSelfAdjointView< MatrixType, UpLo > & | derived () |
| const SparseSelfAdjointView< MatrixType, UpLo > & | derived () const |
| template<typename OtherDerived> | |
| SparseSelfAdjointTimeDenseProduct< MatrixType, OtherDerived, UpLo > | operator* (const MatrixBase< OtherDerived > &rhs) const |
| template<typename DerivedU> | |
| SparseSelfAdjointView & | rankUpdate (const SparseMatrixBase< DerivedU > &u, Scalar alpha=Scalar(1)) |
| Index | size () const |
| SparseSymmetricPermutationProduct< _MatrixTypeNested, UpLo > | twistedBy (const PermutationMatrix< Dynamic, Dynamic, Index > &perm) const |
Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.
| MatrixType | the type of the dense matrix storing the coefficients |
| UpLo | can be either Lower or Upper |
This class is an expression of a sefladjoint matrix from a triangular part of a matrix with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView() and most of the time this is the only way that it is used.
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Efficient sparse self-adjoint matrix times dense vector/matrix product
| SparseSelfAdjointView & rankUpdate | ( | const SparseMatrixBase< DerivedU > & | u, |
| Scalar | alpha = Scalar(1) ) |
Perform a symmetric rank K update of the selfadjoint matrix *this: 
*this To perform 
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