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various work on the Sparse module:
* added some glue to Eigen/Core (SparseBit, ei_eval, Matrix)
* add two new sparse matrix types:
HashMatrix: based on std::map (for random writes)
LinkedVectorMatrix: array of linked vectors
(for outer coherent writes, e.g. to transpose a matrix)
* add a SparseSetter class to easily set/update any kind of matrices, e.g.:
{ SparseSetter<MatrixType,RandomAccessPattern> wrapper(mymatrix);
for (...) wrapper->coeffRef(rand(),rand()) = rand(); }
* automatic shallow copy for RValue
* and a lot of mess !
plus:
* remove the remaining ArrayBit related stuff
* don't use alloca in product for very large memory allocation
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@@ -258,7 +258,6 @@ template<typename OtherDerived>
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inline const typename ProductReturnType<Derived,OtherDerived>::Type
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MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
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{
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assert( (Derived::Flags&ArrayBit) == (OtherDerived::Flags&ArrayBit) );
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return typename ProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
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}
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