libigl_Martin/include/igl/diag.h

#ifndef IGL_DIAG_H
#define IGL_DIAG_H
#include "igl_inline.h"
#define EIGEN_YES_I_KNOW_SPARSE_MODULE_IS_NOT_STABLE_YET
#include <Eigen/Sparse>

namespace igl
{
  // http://forum.kde.org/viewtopic.php?f=74&t=117476&p=292388#p292388
  //
  // This is superceded by 
  //   VectorXd d = X.diagonal() and 
  //   SparseVector<double> d = X.diagonal().sparseView()
  //
  //
  // Either extracts the main diagonal of a matrix as a vector OR converts a
  // vector into a matrix with vector along the main diagonal. Like matlab's
  // diag function

  // Templates:
  //   T  should be a eigen sparse matrix primitive type like int or double
  // Inputs:
  //   X  an m by n sparse matrix
  // Outputs:
  //   V  a min(m,n) sparse vector
  template <typename T>
  IGL_INLINE void diag(
    const Eigen::SparseMatrix<T>& X, 
    Eigen::SparseVector<T>& V);
  template <typename T,typename DerivedV>
  IGL_INLINE void diag(
    const Eigen::SparseMatrix<T>& X, 
    Eigen::MatrixBase<DerivedV>& V);
  // Templates:
  //   T  should be a eigen sparse matrix primitive type like int or double
  // Inputs:
  //  V  a m sparse vector
  // Outputs:
  //  X  a m by m sparse matrix
  template <typename T>
  IGL_INLINE void diag(
    const Eigen::SparseVector<T>& V,
    Eigen::SparseMatrix<T>& X);
  template <typename T, typename DerivedV>
  IGL_INLINE void diag(
    const Eigen::MatrixBase<DerivedV>& V,
    Eigen::SparseMatrix<T>& X);
}

#ifdef IGL_HEADER_ONLY
#  include "diag.cpp"
#endif

#endif