| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2023 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
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 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 | // | 
 | // TODO(sameeragarwal): Add support for larger, more complicated and | 
 | // poorly conditioned problems both for correctness testing as well as | 
 | // benchmarking. | 
 |  | 
 | #include "ceres/iterative_schur_complement_solver.h" | 
 |  | 
 | #include <cstddef> | 
 | #include <memory> | 
 |  | 
 | #include "Eigen/Dense" | 
 | #include "ceres/block_random_access_dense_matrix.h" | 
 | #include "ceres/block_sparse_matrix.h" | 
 | #include "ceres/casts.h" | 
 | #include "ceres/context_impl.h" | 
 | #include "ceres/internal/eigen.h" | 
 | #include "ceres/linear_least_squares_problems.h" | 
 | #include "ceres/linear_solver.h" | 
 | #include "ceres/schur_eliminator.h" | 
 | #include "ceres/triplet_sparse_matrix.h" | 
 | #include "ceres/types.h" | 
 | #include "gtest/gtest.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | using testing::AssertionResult; | 
 |  | 
 | const double kEpsilon = 1e-14; | 
 |  | 
 | class IterativeSchurComplementSolverTest : public ::testing::Test { | 
 |  protected: | 
 |   void SetUpProblem(int problem_id) { | 
 |     std::unique_ptr<LinearLeastSquaresProblem> problem = | 
 |         CreateLinearLeastSquaresProblemFromId(problem_id); | 
 |  | 
 |     ASSERT_TRUE(problem != nullptr); | 
 |     A_.reset(down_cast<BlockSparseMatrix*>(problem->A.release())); | 
 |     b_ = std::move(problem->b); | 
 |     D_ = std::move(problem->D); | 
 |  | 
 |     num_cols_ = A_->num_cols(); | 
 |     num_rows_ = A_->num_rows(); | 
 |     num_eliminate_blocks_ = problem->num_eliminate_blocks; | 
 |   } | 
 |  | 
 |   AssertionResult TestSolver(double* D, | 
 |                              PreconditionerType preconditioner_type, | 
 |                              bool use_spse_initialization) { | 
 |     TripletSparseMatrix triplet_A( | 
 |         A_->num_rows(), A_->num_cols(), A_->num_nonzeros()); | 
 |     A_->ToTripletSparseMatrix(&triplet_A); | 
 |  | 
 |     DenseSparseMatrix dense_A(triplet_A); | 
 |  | 
 |     LinearSolver::Options options; | 
 |     options.type = DENSE_QR; | 
 |     ContextImpl context; | 
 |     options.context = &context; | 
 |     std::unique_ptr<LinearSolver> qr(LinearSolver::Create(options)); | 
 |  | 
 |     LinearSolver::PerSolveOptions per_solve_options; | 
 |     per_solve_options.D = D; | 
 |     Vector reference_solution(num_cols_); | 
 |     qr->Solve(&dense_A, b_.get(), per_solve_options, reference_solution.data()); | 
 |  | 
 |     options.elimination_groups.push_back(num_eliminate_blocks_); | 
 |     options.elimination_groups.push_back(0); | 
 |     options.max_num_iterations = num_cols_; | 
 |     options.max_num_spse_iterations = 1; | 
 |     options.use_spse_initialization = use_spse_initialization; | 
 |     options.preconditioner_type = preconditioner_type; | 
 |     IterativeSchurComplementSolver isc(options); | 
 |  | 
 |     Vector isc_sol(num_cols_); | 
 |     per_solve_options.r_tolerance = 1e-12; | 
 |     isc.Solve(A_.get(), b_.get(), per_solve_options, isc_sol.data()); | 
 |     double diff = (isc_sol - reference_solution).norm(); | 
 |     if (diff < kEpsilon) { | 
 |       return testing::AssertionSuccess(); | 
 |     } else { | 
 |       return testing::AssertionFailure() | 
 |              << "The reference solution differs from the ITERATIVE_SCHUR" | 
 |              << " solution by " << diff << " which is more than " << kEpsilon; | 
 |     } | 
 |   } | 
 |  | 
 |   int num_rows_; | 
 |   int num_cols_; | 
 |   int num_eliminate_blocks_; | 
 |   std::unique_ptr<BlockSparseMatrix> A_; | 
 |   std::unique_ptr<double[]> b_; | 
 |   std::unique_ptr<double[]> D_; | 
 | }; | 
 |  | 
 | TEST_F(IterativeSchurComplementSolverTest, NormalProblemSchurJacobi) { | 
 |   SetUpProblem(2); | 
 |   EXPECT_TRUE(TestSolver(nullptr, SCHUR_JACOBI, false)); | 
 |   EXPECT_TRUE(TestSolver(D_.get(), SCHUR_JACOBI, false)); | 
 | } | 
 |  | 
 | TEST_F(IterativeSchurComplementSolverTest, | 
 |        NormalProblemSchurJacobiWithPowerSeriesExpansionInitialization) { | 
 |   SetUpProblem(2); | 
 |   EXPECT_TRUE(TestSolver(nullptr, SCHUR_JACOBI, true)); | 
 |   EXPECT_TRUE(TestSolver(D_.get(), SCHUR_JACOBI, true)); | 
 | } | 
 |  | 
 | TEST_F(IterativeSchurComplementSolverTest, | 
 |        NormalProblemPowerSeriesExpansionPreconditioner) { | 
 |   SetUpProblem(5); | 
 |   EXPECT_TRUE(TestSolver(nullptr, SCHUR_POWER_SERIES_EXPANSION, false)); | 
 |   EXPECT_TRUE(TestSolver(D_.get(), SCHUR_POWER_SERIES_EXPANSION, false)); | 
 | } | 
 |  | 
 | TEST_F(IterativeSchurComplementSolverTest, ProblemWithNoFBlocks) { | 
 |   SetUpProblem(3); | 
 |   EXPECT_TRUE(TestSolver(nullptr, SCHUR_JACOBI, false)); | 
 |   EXPECT_TRUE(TestSolver(D_.get(), SCHUR_JACOBI, false)); | 
 | } | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres |