doc/examples/Tutorial_ReductionsVisitorsBroadcasting_reductions_norm.cpp

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

int main() {
  Eigen::VectorXf v(2);
  Eigen::MatrixXf m(2, 2), n(2, 2);

  v << -1, 2;

  m << 1, -2, -3, 4;

  std::cout << "v.squaredNorm() = " << v.squaredNorm() << std::endl;
  std::cout << "v.norm() = " << v.norm() << std::endl;
  std::cout << "v.lpNorm<1>() = " << v.lpNorm<1>() << std::endl;
  std::cout << "v.lpNorm<Infinity>() = " << v.lpNorm<Eigen::Infinity>() << std::endl;

  std::cout << std::endl;
  std::cout << "m.squaredNorm() = " << m.squaredNorm() << std::endl;
  std::cout << "m.norm() = " << m.norm() << std::endl;
  std::cout << "m.lpNorm<1>() = " << m.lpNorm<1>() << std::endl;
  std::cout << "m.lpNorm<Infinity>() = " << m.lpNorm<Eigen::Infinity>() << std::endl;
}