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- // This file is part of libigl, a simple c++ geometry processing library.
- //
- // Copyright (C) 2023 Alec Jacobson <[email protected]>
- //
- // This Source Code Form is subject to the terms of the Mozilla Public License
- // v. 2.0. If a copy of the MPL was not distributed with this file, You can
- // obtain one at http://mozilla.org/MPL/2.0/.
- #ifndef IGL_SPECTRA_EIGS_H
- #define IGL_SPECTRA_EIGS_H
- #include "../igl_inline.h"
- #include "../eigs.h"
- #include <Eigen/Core>
- #include <Eigen/Sparse>
- #include <Eigen/SparseLU>
- namespace igl
- {
- namespace spectra
- {
- /// Act like MATLAB's eigs function. Compute the first/last k eigen pairs of
- /// the generalized eigen value problem:
- ///
- /// A u = s B u
- ///
- /// Solutions are approximate and sorted.
- ///
- /// Ideally one should use ARPACK and the Eigen unsupported ARPACK module.
- /// This implementation does simple, naive power iterations.
- ///
- /// @param[in] A #A by #A symmetric matrix
- /// @param[in] B #A by #A symmetric positive-definite matrix
- /// @param[in] k number of eigen pairs to compute
- /// @param[in] type whether to extract from the high or low end
- /// @param[out] sU #A by k list of sorted eigen vectors (descending)
- /// @param[out] sS k list of sorted eigen values (descending)
- ///
- /// \bug only the 'sm' small magnitude eigen values are well supported
- ///
- template <
- typename EigsScalar,
- typename DerivedU,
- typename DerivedS,
- typename Solver = Eigen::SparseLU<Eigen::SparseMatrix<EigsScalar>> >
- IGL_INLINE bool eigs(
- const Eigen::SparseMatrix<EigsScalar> & A,
- const Eigen::SparseMatrix<EigsScalar> & B,
- const int k,
- const igl::EigsType type,
- Eigen::PlainObjectBase<DerivedU> & U,
- Eigen::PlainObjectBase<DerivedS> & S);
- /// \overload
- /// @param[in] sigma shift to apply to A, as in A ← A + sigma B
- template <
- typename EigsScalar,
- typename DerivedU,
- typename DerivedS,
- typename Solver = Eigen::SparseLU<Eigen::SparseMatrix<EigsScalar>> >
- IGL_INLINE bool eigs(
- const Eigen::SparseMatrix<EigsScalar> & A,
- const Eigen::SparseMatrix<EigsScalar> & B,
- const int k,
- const EigsScalar sigma,
- Eigen::PlainObjectBase<DerivedU> & U,
- Eigen::PlainObjectBase<DerivedS> & S);
- }
- }
- #ifndef IGL_STATIC_LIBRARY
- #include "eigs.cpp"
- #endif
- #endif
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