CGAL 6.1.1 - CGAL and Solvers

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Solver_interface/singular_value_decomposition.cpp
#ifdef CGAL_EIGEN3_ENABLED
#include <CGAL/Eigen_matrix.h>
#include <CGAL/Eigen_vector.h>
#include <CGAL/Eigen_svd.h>
typedef CGAL::Eigen_svd Svd;
#endif
typedef Svd::FT FT;
typedef Svd::Vector Eigen_vector;
typedef Svd::Matrix Eigen_matrix;
int main(void)
{
std::size_t degree = 3;
Eigen_vector B(degree);
Eigen_matrix M(degree, degree);
// Fill B and M with random numbers
for(std::size_t i=0; i<degree; ++i)
{
B.set(i, rand());
for(std::size_t j = 0; j < degree; ++j)
M.set(i, j, rand());
}
// Solve MX=B
std::cout << Svd::solve(M, B) << std::endl;
// Print result
std::cout << "Solution of SVD = [ ";
for(std::size_t i=0; i<degree; ++i)
std::cout << B.vector()[i] << " ";
std::cout << "]" << std::endl;
return 0;
}
CGAL::Eigen_svd
The class Eigen_svd provides an algorithm to solve in the least square sense a linear system with a s...
Definition: Eigen_svd.h:38