Hi All,
We are trying to use eigen solver api to solve the problem in which we have
a matrix containing vector as the coefficient of it.
Form Ax=B
Able to create a matrix for A(2,2) having a vector like
[ [1,2],[3,4]
[5,6],[7,8] ]
Matrix B(2,1)
[ [1,2]
[1,1] ]
But when I am trying to pass the value to the solver, it is giving fatal
error (*Eigen/src/SVD/JacobiSVD.h:714:15: error: no matching function for
call to ‘abs(const Scalar&)’
if(abs(m_workMatrix.coeff(p,q))>threshold || abs(m_workMatrix.coeff(q,p)) >
threshold).*)
Please look into it and suggest what I m missing.
*#include <iostream>#include "Eigen/Dense"using namespace std;using
namespace Eigen;int main(){Eigen::Matrix< Eigen::RowVector2d, 2, 2>
A;Eigen::Matrix< Eigen::RowVector2d, 2, 1> B;RowVector2d rv1;RowVector2d
rv2;RowVector2d rv3;RowVector2d rv4;rv1 << 1,2;rv2 << 3,4;rv3 << 5,6;rv4 <<
7,8;cout << "Here is the matrix rv1:\n" << rv1 << endl;cout << "Here is the
matrix rv2:\n" << rv2 << endl;cout << "Here is the matrix rv3:\n" << rv3 <<
endl;cout << "Here is the matrix rv4:\n" << rv4 << endl;A << rv1,rv2, rv3,
rv4;RowVector2d b1;RowVector2d b2;b1 << 1,2;b2 << 2,1;B << b1, b2;cout <<
"Here is the matrix B(0,0):\n" << B(0,0) << endl;cout << "Here is the
matrix B(0,1):\n" << B(1,0) <<
endl;JacobiSVD<Eigen::Matrix<Eigen::RowVector2d, 2, 2>> dec(A);*
*}*
*-Rohit Aggarwal*
