| // SPDX-FileCopyrightText: The Eigen Authors |
| // SPDX-License-Identifier: MPL-2.0 |
| |
| typedef Matrix<float, Dynamic, 2> DataMatrix; |
| // let's generate some samples on the 3D plane of equation z = 2x+3y (with some noise) |
| DataMatrix samples = DataMatrix::Random(12, 2); |
| VectorXf elevations = 2 * samples.col(0) + 3 * samples.col(1) + VectorXf::Random(12) * 0.1; |
| // and let's solve samples * [x y]^T = elevations in least square sense: |
| Matrix<float, 2, 1> xy = (samples.adjoint() * samples).llt().solve((samples.adjoint() * elevations)); |
| cout << xy << endl; |
