ceres-solver-v1 / colmap /src /optim /least_absolute_deviations_test.cc
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// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill.
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// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
#define TEST_NAME "optim/least_absolute_deviations"
#include "util/testing.h"
#include <Eigen/Dense>
#include "optim/least_absolute_deviations.h"
#include "util/random.h"
using namespace colmap;
BOOST_AUTO_TEST_CASE(TestOverDetermined) {
Eigen::SparseMatrix<double> A(4, 3);
for (int i = 0; i < A.rows(); ++i) {
for (int j = 0; j < A.cols(); ++j) {
A.insert(i, j) = i * A.cols() + j + 1;
}
}
A.coeffRef(0, 0) = 10;
Eigen::VectorXd b(A.rows());
for (int i = 0; i < b.size(); ++i) {
b(i) = i + 1;
}
Eigen::VectorXd x = Eigen::VectorXd::Zero(A.cols());
LeastAbsoluteDeviationsOptions options;
BOOST_CHECK(SolveLeastAbsoluteDeviations(options, A, b, &x));
// Reference solution obtained with Boyd's Matlab implementation.
const Eigen::Vector3d x_ref(0, 0, 1 / 3.0);
BOOST_CHECK(x.isApprox(x_ref));
const Eigen::VectorXd residual = A * x - b;
BOOST_CHECK_LE(residual.norm(), 1e-6);
}
BOOST_AUTO_TEST_CASE(TestWellDetermined) {
Eigen::SparseMatrix<double> A(3, 3);
for (int i = 0; i < A.rows(); ++i) {
for (int j = 0; j < A.cols(); ++j) {
A.insert(i, j) = i * A.cols() + j + 1;
}
}
A.coeffRef(0, 0) = 10;
Eigen::VectorXd b(A.rows());
for (int i = 0; i < b.size(); ++i) {
b(i) = i + 1;
}
Eigen::VectorXd x = Eigen::VectorXd::Zero(A.cols());
LeastAbsoluteDeviationsOptions options;
BOOST_CHECK(SolveLeastAbsoluteDeviations(options, A, b, &x));
// Reference solution obtained with Boyd's Matlab implementation.
const Eigen::Vector3d x_ref(0, 0, 1 / 3.0);
BOOST_CHECK(x.isApprox(x_ref));
const Eigen::VectorXd residual = A * x - b;
BOOST_CHECK_LE(residual.norm(), 1e-6);
}
BOOST_AUTO_TEST_CASE(TestUnderDetermined) {
// In this case, the system is rank-deficient and not positive semi-definite.
Eigen::SparseMatrix<double> A(2, 3);
Eigen::VectorXd b(A.rows());
Eigen::VectorXd x = Eigen::VectorXd::Zero(A.cols());
LeastAbsoluteDeviationsOptions options;
BOOST_CHECK(!SolveLeastAbsoluteDeviations(options, A, b, &x));
}