63 lines
1.9 KiB
C++
63 lines
1.9 KiB
C++
// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef IGL_DIAG_H
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#define IGL_DIAG_H
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#include "igl_inline.h"
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#define EIGEN_YES_I_KNOW_SPARSE_MODULE_IS_NOT_STABLE_YET
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#include <Eigen/Sparse>
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namespace igl
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{
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// http://forum.kde.org/viewtopic.php?f=74&t=117476&p=292388#p292388
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//
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// This is superceded by
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// VectorXd V = X.diagonal() and
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// SparseVector<double> V = X.diagonal().sparseView()
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// SparseMatrix<double> X = V.asDiagonal().sparseView()
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//
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//
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// Either extracts the main diagonal of a matrix as a vector OR converts a
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// vector into a matrix with vector along the main diagonal. Like matlab's
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// diag function
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// Templates:
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// T should be a eigen sparse matrix primitive type like int or double
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// Inputs:
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// X an m by n sparse matrix
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// Outputs:
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// V a min(m,n) sparse vector
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template <typename T>
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IGL_INLINE void diag(
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const Eigen::SparseMatrix<T>& X,
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Eigen::SparseVector<T>& V);
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template <typename T,typename DerivedV>
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IGL_INLINE void diag(
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const Eigen::SparseMatrix<T>& X,
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Eigen::MatrixBase<DerivedV>& V);
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// Templates:
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// T should be a eigen sparse matrix primitive type like int or double
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// Inputs:
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// V a m sparse vector
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// Outputs:
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// X a m by m sparse matrix
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template <typename T>
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IGL_INLINE void diag(
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const Eigen::SparseVector<T>& V,
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Eigen::SparseMatrix<T>& X);
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template <typename T, typename DerivedV>
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IGL_INLINE void diag(
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const Eigen::MatrixBase<DerivedV>& V,
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Eigen::SparseMatrix<T>& X);
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}
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#ifndef IGL_STATIC_LIBRARY
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# include "diag.cpp"
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#endif
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#endif
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