// Ceres Solver - A fast non-linear least squares minimizer // Copyright 2015 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) #ifndef CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_ #define CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_ #include #include "ceres/ordered_groups.h" #include "ceres/graph.h" #include "ceres/types.h" namespace ceres { namespace internal { class Program; class ParameterBlock; // Uses an approximate independent set ordering to order the parameter // blocks of a problem so that it is suitable for use with Schur // complement based solvers. The output variable ordering contains an // ordering of the parameter blocks and the return value is size of // the independent set or the number of e_blocks (see // schur_complement_solver.h for an explanation). Constant parameters // are added to the end. // // The ordering vector has the structure // // ordering = [independent set, // complement of the independent set, // fixed blocks] int ComputeSchurOrdering(const Program& program, std::vector* ordering); // Same as above, except that ties while computing the independent set // ordering are resolved in favour of the order in which the parameter // blocks occur in the program. int ComputeStableSchurOrdering(const Program& program, std::vector* ordering); // Use an approximate independent set ordering to decompose the // parameter blocks of a problem in a sequence of independent // sets. The ordering covers all the non-constant parameter blocks in // the program. void ComputeRecursiveIndependentSetOrdering(const Program& program, ParameterBlockOrdering* ordering); // Builds a graph on the parameter blocks of a Problem, whose // structure reflects the sparsity structure of the Hessian. Each // vertex corresponds to a parameter block in the Problem except for // parameter blocks that are marked constant. An edge connects two // parameter blocks, if they co-occur in a residual block. Graph* CreateHessianGraph(const Program& program); // Iterate over each of the groups in order of their priority and fill // summary with their sizes. void OrderingToGroupSizes(const ParameterBlockOrdering* ordering, std::vector* group_sizes); } // namespace internal } // namespace ceres #endif // CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_