I am trying the following:
Eigen::SparseMatrix<double> bijection(2 * face_count, 2 * vert_count);
/* initialization */
Eigen::VectorXd toggles(2 * vert_count);
toggles.setOnes();
Eigen::SparseMatrix<double> deformed;
deformed = bijection * toggles;
Eigen is returning an error claiming:
error: static assertion failed: THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS
586 | EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS);
According to the eigen documentaion
Sparse matrix and vector products are allowed. What am I doing wrong?
CodePudding user response:
The problem is you have the wrong output type for that product.
The Eigen documentations says the following type of multiplication is legal:
dv2 = sm1 * dv1;
Sparse matrix times dense vector equals dense vector.
If you actually do need a sparse representation, I think there is no better way of getting one than performing the multiplication as above and then converting the product to a sparse matrix with the sparseView
member function. e.g.
Eigen::SparseMatrix<double> bijection(2 * face_count, 2 * vert_count);
/* initialization */
Eigen::VectorXd toggles(2 * vert_count);
toggles.setOnes();
Eigen::VectorXd deformedDense = bijection * toggles;
Eigen::SparseMatrix<double> deformedSparse = deformedDense.sparseView();