From 44861dcbfeee041223c4aac1ee075e92fa4daa01 Mon Sep 17 00:00:00 2001 From: Stanislaw Halik Date: Sun, 18 Sep 2016 12:42:15 +0200 Subject: update --- .../Tutorial_sparse_example_details.cpp | 44 ++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 eigen/doc/special_examples/Tutorial_sparse_example_details.cpp (limited to 'eigen/doc/special_examples/Tutorial_sparse_example_details.cpp') diff --git a/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp b/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp new file mode 100644 index 0000000..7d820b4 --- /dev/null +++ b/eigen/doc/special_examples/Tutorial_sparse_example_details.cpp @@ -0,0 +1,44 @@ +#include +#include +#include + +typedef Eigen::SparseMatrix SpMat; // declares a column-major sparse matrix type of double +typedef Eigen::Triplet T; + +void insertCoefficient(int id, int i, int j, double w, std::vector& coeffs, + Eigen::VectorXd& b, const Eigen::VectorXd& boundary) +{ + int n = boundary.size(); + int id1 = i+j*n; + + if(i==-1 || i==n) b(id) -= w * boundary(j); // constrained coefficient + else if(j==-1 || j==n) b(id) -= w * boundary(i); // constrained coefficient + else coeffs.push_back(T(id,id1,w)); // unknown coefficient +} + +void buildProblem(std::vector& coefficients, Eigen::VectorXd& b, int n) +{ + b.setZero(); + Eigen::ArrayXd boundary = Eigen::ArrayXd::LinSpaced(n, 0,M_PI).sin().pow(2); + for(int j=0; j bits = (x*255).cast(); + QImage img(bits.data(), n,n,QImage::Format_Indexed8); + img.setColorCount(256); + for(int i=0;i<256;i++) img.setColor(i,qRgb(i,i,i)); + img.save(filename); +} -- cgit v1.2.3