|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2022 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: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
|  | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
|  |  | 
|  | #include "ceres/dense_cholesky.h" | 
|  |  | 
|  | #include <algorithm> | 
|  | #include <memory> | 
|  | #include <string> | 
|  |  | 
|  | #ifndef CERES_NO_LAPACK | 
|  |  | 
|  | // C interface to the LAPACK Cholesky factorization and triangular solve. | 
|  | extern "C" void dpotrf_( | 
|  | const char* uplo, const int* n, double* a, const int* lda, int* info); | 
|  |  | 
|  | extern "C" void dpotrs_(const char* uplo, | 
|  | const int* n, | 
|  | const int* nrhs, | 
|  | const double* a, | 
|  | const int* lda, | 
|  | double* b, | 
|  | const int* ldb, | 
|  | int* info); | 
|  | #endif | 
|  |  | 
|  | namespace ceres { | 
|  | namespace internal { | 
|  |  | 
|  | std::unique_ptr<DenseCholesky> DenseCholesky::Create( | 
|  | const LinearSolver::Options& options) { | 
|  | std::unique_ptr<DenseCholesky> dense_cholesky; | 
|  |  | 
|  | switch (options.dense_linear_algebra_library_type) { | 
|  | case EIGEN: | 
|  | dense_cholesky = std::make_unique<EigenDenseCholesky>(); | 
|  | break; | 
|  |  | 
|  | case LAPACK: | 
|  | #ifndef CERES_NO_LAPACK | 
|  | dense_cholesky = std::make_unique<LAPACKDenseCholesky>(); | 
|  | break; | 
|  | #else | 
|  | LOG(FATAL) << "Ceres was compiled without support for LAPACK."; | 
|  | #endif | 
|  |  | 
|  | default: | 
|  | LOG(FATAL) << "Unknown dense linear algebra library type : " | 
|  | << DenseLinearAlgebraLibraryTypeToString( | 
|  | options.dense_linear_algebra_library_type); | 
|  | } | 
|  | return dense_cholesky; | 
|  | } | 
|  |  | 
|  | LinearSolverTerminationType DenseCholesky::FactorAndSolve( | 
|  | int num_cols, | 
|  | double* lhs, | 
|  | const double* rhs, | 
|  | double* solution, | 
|  | std::string* message) { | 
|  | LinearSolverTerminationType termination_type = | 
|  | Factorize(num_cols, lhs, message); | 
|  | if (termination_type == LINEAR_SOLVER_SUCCESS) { | 
|  | termination_type = Solve(rhs, solution, message); | 
|  | } | 
|  | return termination_type; | 
|  | } | 
|  |  | 
|  | LinearSolverTerminationType EigenDenseCholesky::Factorize( | 
|  | int num_cols, double* lhs, std::string* message) { | 
|  | Eigen::Map<Eigen::MatrixXd> m(lhs, num_cols, num_cols); | 
|  | llt_ = std::make_unique<LLTType>(m); | 
|  | if (llt_->info() != Eigen::Success) { | 
|  | *message = "Eigen failure. Unable to perform dense Cholesky factorization."; | 
|  | return LINEAR_SOLVER_FAILURE; | 
|  | } | 
|  |  | 
|  | *message = "Success."; | 
|  | return LINEAR_SOLVER_SUCCESS; | 
|  | } | 
|  |  | 
|  | LinearSolverTerminationType EigenDenseCholesky::Solve(const double* rhs, | 
|  | double* solution, | 
|  | std::string* message) { | 
|  | if (llt_->info() != Eigen::Success) { | 
|  | *message = "Eigen failure. Unable to perform dense Cholesky factorization."; | 
|  | return LINEAR_SOLVER_FAILURE; | 
|  | } | 
|  |  | 
|  | VectorRef(solution, llt_->cols()) = | 
|  | llt_->solve(ConstVectorRef(rhs, llt_->cols())); | 
|  | *message = "Success."; | 
|  | return LINEAR_SOLVER_SUCCESS; | 
|  | } | 
|  |  | 
|  | #ifndef CERES_NO_LAPACK | 
|  | LinearSolverTerminationType LAPACKDenseCholesky::Factorize( | 
|  | int num_cols, double* lhs, std::string* message) { | 
|  | lhs_ = lhs; | 
|  | num_cols_ = num_cols; | 
|  |  | 
|  | const char uplo = 'L'; | 
|  | int info = 0; | 
|  | dpotrf_(&uplo, &num_cols_, lhs_, &num_cols_, &info); | 
|  |  | 
|  | if (info < 0) { | 
|  | termination_type_ = LINEAR_SOLVER_FATAL_ERROR; | 
|  | LOG(FATAL) << "Congratulations, you found a bug in Ceres." | 
|  | << "Please report it." | 
|  | << "LAPACK::dpotrf fatal error." | 
|  | << "Argument: " << -info << " is invalid."; | 
|  | } else if (info > 0) { | 
|  | termination_type_ = LINEAR_SOLVER_FAILURE; | 
|  | *message = StringPrintf( | 
|  | "LAPACK::dpotrf numerical failure. " | 
|  | "The leading minor of order %d is not positive definite.", | 
|  | info); | 
|  | } else { | 
|  | termination_type_ = LINEAR_SOLVER_SUCCESS; | 
|  | *message = "Success."; | 
|  | } | 
|  | return termination_type_; | 
|  | } | 
|  |  | 
|  | LinearSolverTerminationType LAPACKDenseCholesky::Solve(const double* rhs, | 
|  | double* solution, | 
|  | std::string* message) { | 
|  | const char uplo = 'L'; | 
|  | const int nrhs = 1; | 
|  | int info = 0; | 
|  |  | 
|  | std::copy_n(rhs, num_cols_, solution); | 
|  | dpotrs_( | 
|  | &uplo, &num_cols_, &nrhs, lhs_, &num_cols_, solution, &num_cols_, &info); | 
|  |  | 
|  | if (info < 0) { | 
|  | termination_type_ = LINEAR_SOLVER_FATAL_ERROR; | 
|  | LOG(FATAL) << "Congratulations, you found a bug in Ceres." | 
|  | << "Please report it." | 
|  | << "LAPACK::dpotrs fatal error." | 
|  | << "Argument: " << -info << " is invalid."; | 
|  | } | 
|  |  | 
|  | *message = "Success"; | 
|  | termination_type_ = LINEAR_SOLVER_SUCCESS; | 
|  |  | 
|  | return termination_type_; | 
|  | } | 
|  |  | 
|  | #endif  // CERES_NO_LAPACK | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres |