// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2010, 2011, 2012 Google Inc. All rights reserved. // http://code.google.com/p/ceres-solver/ // // 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) #ifndef CERES_INTERNAL_LINEAR_LEAST_SQUARES_PROBLEMS_H_ #define CERES_INTERNAL_LINEAR_LEAST_SQUARES_PROBLEMS_H_ #include <string> #include <vector> #include "ceres/sparse_matrix.h" #include "ceres/internal/port.h" #include "ceres/internal/scoped_ptr.h" namespace ceres { namespace internal { // Structure defining a linear least squares problem and if possible // ground truth solutions. To be used by various LinearSolver tests. struct LinearLeastSquaresProblem { LinearLeastSquaresProblem() : A(NULL), b(NULL), D(NULL), num_eliminate_blocks(0), x(NULL), x_D(NULL) { } scoped_ptr<SparseMatrix> A; scoped_array<double> b; scoped_array<double> D; // If using the schur eliminator then how many of the variable // blocks are e_type blocks. int num_eliminate_blocks; // Solution to min_x |Ax - b|^2 scoped_array<double> x; // Solution to min_x |Ax - b|^2 + |Dx|^2 scoped_array<double> x_D; }; // Factories for linear least squares problem. LinearLeastSquaresProblem* CreateLinearLeastSquaresProblemFromId(int id); LinearLeastSquaresProblem* CreateLinearLeastSquaresProblemFromFile( const string& filename); LinearLeastSquaresProblem* LinearLeastSquaresProblem0(); LinearLeastSquaresProblem* LinearLeastSquaresProblem1(); LinearLeastSquaresProblem* LinearLeastSquaresProblem2(); LinearLeastSquaresProblem* LinearLeastSquaresProblem3(); // Write the linear least squares problem to disk. The exact format // depends on dump_format_type. bool DumpLinearLeastSquaresProblem(const string& directory, int iteration, DumpFormatType dump_format_type, const SparseMatrix* A, const double* D, const double* b, const double* x, int num_eliminate_blocks); } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_LINEAR_LEAST_SQUARES_PROBLEMS_H_