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jacobisvd Code Example
jacobisvd 
JacobiSVD<MatrixXd> svd( C, ComputeFullV | ComputeFullU );
cout << svd.computeU() << endl;
cout << svd.computeV() << endl;

MatrixXd Cp = svd.matrixU() * svd.singularValues().asDiagonal() * svd.matrixV().transpose();
MatrixXd diff = Cp - C;
PRINT_MAT( "diff", diff );
Source: stackoverflow.com
jacobisvd 
#include <Eigen/Core>
#include <Eigen/SVD>
#include <iostream>

using namespace Eigen;
using std::cout;

int main()
{
    MatrixXd C;
    C.setRandom(27,18);
    JacobiSVD<MatrixXd> svd( C, ComputeThinU | ComputeThinV);
    MatrixXd Cp = svd.matrixU() * svd.singularValues().asDiagonal() * svd.matrixV().transpose();
    MatrixXd diff = Cp - C;
    cout << "diff:\n" << diff.array().abs().sum() << "\n";
    return 0;
}
Source: stackoverflow.com



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Type:
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Category:
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Sub Category:
 Code Example
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