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068ff3370d
* several fixes (transpose, matrix product, etc...) * Added a basic cholesky factorization * Added a low level hybrid dense/sparse vector class to help writing code involving intensive read/write in a fixed vector. It is currently used to implement the matrix product itself as well as in the Cholesky factorization.
30 lines
740 B
Plaintext
30 lines
740 B
Plaintext
#ifndef EIGEN_SPARSE_MODULE_H
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#define EIGEN_SPARSE_MODULE_H
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#include "Core"
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#include <vector>
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#include <map>
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#include <cstdlib>
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#include <cstring>
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#include <algorithm>
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namespace Eigen {
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#include "src/Sparse/SparseUtil.h"
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#include "src/Sparse/SparseMatrixBase.h"
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#include "src/Sparse/SparseArray.h"
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#include "src/Sparse/AmbiVector.h"
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#include "src/Sparse/SparseBlock.h"
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#include "src/Sparse/SparseMatrix.h"
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#include "src/Sparse/HashMatrix.h"
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#include "src/Sparse/LinkedVectorMatrix.h"
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#include "src/Sparse/CoreIterators.h"
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#include "src/Sparse/SparseSetter.h"
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#include "src/Sparse/SparseProduct.h"
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#include "src/Sparse/TriangularSolver.h"
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#include "src/Sparse/BasicSparseCholesky.h"
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} // namespace Eigen
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#endif // EIGEN_SPARSE_MODULE_H
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