Constructing diagonal matrix in eigen

Here's a code and its output :

Code:

#include <iostream>
#include "Eigen/Dense"

int main()
{
    Eigen::Matrix< double, 3, 1> v ;
    v << 1, 2, 3;
    Eigen::Matrix< double, 3, 3> m = v.array().sqrt().matrix().asDiagonal();

    std::cout << m << "\n";

    return 0;
}

Output :

  1       0       0
  0 1.41421       0
  0       0 1.73205

As you can see, the output created asDiagonal() from a (31) vector is a normal (33) matrix (that you have to define first), meaning that Eigen holds the 9 elements not just the diagonal ones.

If you want a standalone diagonal matrix, construct a DiagonalMatrix.

DiagonalMatrix<double, 3> m(3, 8, 6);

// Input after construction
m.diagonal() << 3, 8, 6;

A DiagonalMatrix works like a normal matrix but stores only the diagonal.

Vector3d v(1, 2, 3);
m * v;  // 3 16 18

If you want to make a diagonal matrix out of an existing vector, call .asDiagonal(). Note that .diagonal() returns the diagonal as a vector, so .diagonal().asDiagonal() extract the diagonal part of a matrix and regard it as a diagonal matrix.