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+// This file is part of libigl, a simple c++ geometry processing library.
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+//
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+// Copyright (C) 2017 Alec Jacobson <alecjacobson@gmail.com> and Oded Stein <oded.stein@columbia.edu>
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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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+#include "hessian_energy.h"
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+#include <vector>
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+
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+#include <igl/grad.h>
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+#include <igl/doublearea.h>
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+#include <igl/massmatrix.h>
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+#include <igl/boundary_loop.h>
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+#include <igl/repdiag.h>
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+
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+template <typename DerivedV, typename DerivedF, typename Scalar>
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+IGL_INLINE void igl::hessian_energy(
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+ const Eigen::PlainObjectBase<DerivedV> & V,
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+ const Eigen::PlainObjectBase<DerivedF> & F,
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+ Eigen::SparseMatrix<Scalar>& Q)
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+{
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+ typedef typename DerivedV::Scalar denseScalar;
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+ typedef typename Eigen::Matrix<denseScalar, Eigen::Dynamic, 1> VecXd;
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+ typedef typename Eigen::SparseMatrix<Scalar> SparseMat;
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+ typedef typename Eigen::DiagonalMatrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> DiagMat;
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+
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+ int dim = V.cols();
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+ assert((dim==2 || dim==3) && "The dimension of the vertices should be 2 or 3");
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+
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+ SparseMat M;
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+ igl::massmatrix(V,F,igl::MASSMATRIX_TYPE_VORONOI,M);
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+
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+ //Kill non-interior DOFs
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+ VecXd Mint = M.diagonal();
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+ std::vector<std::vector<int> > bdryLoop;
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+ igl::boundary_loop(F,bdryLoop);
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+ for(const std::vector<int>& loop : bdryLoop)
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+ for(const int& bdryVert : loop)
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+ Mint(bdryVert) = 0.;
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+
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+ //Invert Mint
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+ for(int i=0; i<Mint.rows(); ++i)
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+ if(Mint(i) > 0)
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+ Mint(i) = 1./Mint(i);
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+
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+ //Repeat Mint to form diaginal matrix
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+ DiagMat stackedMinv = Mint.replicate(dim*dim,1).asDiagonal();
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+
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+ //Compute squared Hessian
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+ SparseMat H;
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+ igl::fem_hessian(V,F,H);
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+ Q = H.transpose()*stackedMinv*H;
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+
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+}
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+
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+
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+template <typename DerivedV, typename DerivedF, typename Scalar>
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+IGL_INLINE void igl::fem_hessian(
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+ const Eigen::PlainObjectBase<DerivedV> & V,
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+ const Eigen::PlainObjectBase<DerivedF> & F,
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+ Eigen::SparseMatrix<Scalar>& H)
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+{
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+ typedef typename DerivedV::Scalar denseScalar;
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+ typedef typename Eigen::Matrix<denseScalar, Eigen::Dynamic, 1> VecXd;
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+ typedef typename Eigen::SparseMatrix<Scalar> SparseMat;
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+ typedef typename Eigen::DiagonalMatrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> DiagMat;
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+
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+ int dim = V.cols();
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+ assert((dim==2 || dim==3) && "The dimension of the vertices should be 2 or 3");
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+
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+ //Construct the combined gradient matric
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+ SparseMat G;
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+ igl::grad(V, F, G, false);
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+ SparseMat GG(F.rows(), dim*V.rows());
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+ GG.reserve(G.nonZeros());
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+ for(int i=0; i<dim; ++i)
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+ GG.middleCols(i*G.cols(), G.cols()) = G.middleRows(i*F.rows(), F.rows());
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+ SparseMat D;
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+ igl::repdiag(GG,dim,D);
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+
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+ //Compute area matrix
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+ VecXd areas;
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+ igl::doublearea(V, F, areas);
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+ DiagMat A = (0.5*areas).replicate(dim,1).asDiagonal();
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+
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+ //Compute FEM Hessian
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+ H = D.transpose()*A*G;
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+}
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+
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+
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+#ifdef IGL_STATIC_LIBRARY
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+// Explicit template instantiation
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+template void igl::hessian_energy<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::SparseMatrix<double, 0, int>&);
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+template void igl::fem_hessian<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<int, -1, -1, 0, -1, -1>, double>(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> > const&, Eigen::MatrixBase<Eigen::Matrix<int, -1, -1, 0, -1, -1> > const&, Eigen::SparseMatrix<double, 0, int>&);
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+#endif
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