| // Ceres Solver - A fast non-linear least squares minimizer | |
| // Copyright 2023 Google Inc. All rights reserved. | |
| // http://ceres-solver.org/ | |
| // | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions are met: | |
| // | |
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| // * Redistributions in binary form must reproduce the above copyright notice, | |
| // this list of conditions and the following disclaimer in the documentation | |
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| // specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
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| // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | |
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| // POSSIBILITY OF SUCH DAMAGE. | |
| // | |
| // Author: fredp@google.com (Fred Pighin) | |
| // | |
| // TODO(sameeragarwal): More comprehensive testing with larger and | |
| // more badly conditioned problem. | |
| #include "ceres/conjugate_gradients_solver.h" | |
| #include <memory> | |
| #include "ceres/internal/eigen.h" | |
| #include "ceres/linear_solver.h" | |
| #include "ceres/preconditioner.h" | |
| #include "ceres/triplet_sparse_matrix.h" | |
| #include "ceres/types.h" | |
| #include "gtest/gtest.h" | |
| namespace ceres::internal { | |
| TEST(ConjugateGradientTest, Solves3x3IdentitySystem) { | |
| double diagonal[] = {1.0, 1.0, 1.0}; | |
| std::unique_ptr<TripletSparseMatrix> A( | |
| TripletSparseMatrix::CreateSparseDiagonalMatrix(diagonal, 3)); | |
| Vector b(3); | |
| Vector x(3); | |
| b(0) = 1.0; | |
| b(1) = 2.0; | |
| b(2) = 3.0; | |
| x(0) = 1; | |
| x(1) = 1; | |
| x(2) = 1; | |
| ConjugateGradientsSolverOptions cg_options; | |
| cg_options.min_num_iterations = 1; | |
| cg_options.max_num_iterations = 10; | |
| cg_options.residual_reset_period = 20; | |
| cg_options.q_tolerance = 0.0; | |
| cg_options.r_tolerance = 1e-9; | |
| Vector scratch[4]; | |
| for (int i = 0; i < 4; ++i) { | |
| scratch[i] = Vector::Zero(A->num_cols()); | |
| } | |
| IdentityPreconditioner identity(A->num_cols()); | |
| LinearOperatorAdapter lhs(*A); | |
| LinearOperatorAdapter preconditioner(identity); | |
| Vector* scratch_array[4] = { | |
| &scratch[0], &scratch[1], &scratch[2], &scratch[3]}; | |
| auto summary = ConjugateGradientsSolver( | |
| cg_options, lhs, b, preconditioner, scratch_array, x); | |
| EXPECT_EQ(summary.termination_type, LinearSolverTerminationType::SUCCESS); | |
| ASSERT_EQ(summary.num_iterations, 1); | |
| ASSERT_DOUBLE_EQ(1, x(0)); | |
| ASSERT_DOUBLE_EQ(2, x(1)); | |
| ASSERT_DOUBLE_EQ(3, x(2)); | |
| } | |
| TEST(ConjuateGradientTest, Solves3x3SymmetricSystem) { | |
| std::unique_ptr<TripletSparseMatrix> A(new TripletSparseMatrix(3, 3, 9)); | |
| Vector b(3); | |
| Vector x(3); | |
| // | 2 -1 0| | |
| // A = |-1 2 -1| is symmetric positive definite. | |
| // | 0 -1 2| | |
| int* Ai = A->mutable_rows(); | |
| int* Aj = A->mutable_cols(); | |
| double* Ax = A->mutable_values(); | |
| int counter = 0; | |
| for (int i = 0; i < 3; ++i) { | |
| for (int j = 0; j < 3; ++j) { | |
| Ai[counter] = i; | |
| Aj[counter] = j; | |
| ++counter; | |
| } | |
| } | |
| Ax[0] = 2.; | |
| Ax[1] = -1.; | |
| Ax[2] = 0; | |
| Ax[3] = -1.; | |
| Ax[4] = 2; | |
| Ax[5] = -1; | |
| Ax[6] = 0; | |
| Ax[7] = -1; | |
| Ax[8] = 2; | |
| A->set_num_nonzeros(9); | |
| b(0) = -1; | |
| b(1) = 0; | |
| b(2) = 3; | |
| x(0) = 1; | |
| x(1) = 1; | |
| x(2) = 1; | |
| ConjugateGradientsSolverOptions cg_options; | |
| cg_options.min_num_iterations = 1; | |
| cg_options.max_num_iterations = 10; | |
| cg_options.residual_reset_period = 20; | |
| cg_options.q_tolerance = 0.0; | |
| cg_options.r_tolerance = 1e-9; | |
| Vector scratch[4]; | |
| for (int i = 0; i < 4; ++i) { | |
| scratch[i] = Vector::Zero(A->num_cols()); | |
| } | |
| Vector* scratch_array[4] = { | |
| &scratch[0], &scratch[1], &scratch[2], &scratch[3]}; | |
| IdentityPreconditioner identity(A->num_cols()); | |
| LinearOperatorAdapter lhs(*A); | |
| LinearOperatorAdapter preconditioner(identity); | |
| auto summary = ConjugateGradientsSolver( | |
| cg_options, lhs, b, preconditioner, scratch_array, x); | |
| EXPECT_EQ(summary.termination_type, LinearSolverTerminationType::SUCCESS); | |
| ASSERT_DOUBLE_EQ(0, x(0)); | |
| ASSERT_DOUBLE_EQ(1, x(1)); | |
| ASSERT_DOUBLE_EQ(2, x(2)); | |
| } | |
| } // namespace ceres::internal |