| // 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/ | |
| // | |
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| // modification, are permitted provided that the following conditions are met: | |
| // | |
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| // this list of conditions and the following disclaimer in the documentation | |
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| // | |
| // Author: sameeragarwal@google.com (Sameer Agarwal) | |
| #ifndef CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_ | |
| #define CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_ | |
| #include <vector> | |
| #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, | |
| vector<ParameterBlock* >* 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, | |
| vector<ParameterBlock* >* 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<ParameterBlock*>* 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, | |
| vector<int>* group_sizes); | |
| } // namespace internal | |
| } // namespace ceres | |
| #endif // CERES_INTERNAL_PARAMETER_BLOCK_ORDERING_H_ |