| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2017 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // | 
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 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #ifndef CERES_INTERNAL_SUBSET_PRECONDITIONER_H_ | 
 | #define CERES_INTERNAL_SUBSET_PRECONDITIONER_H_ | 
 |  | 
 | #include "ceres/internal/scoped_ptr.h" | 
 | #include "ceres/preconditioner.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | class BlockSparseMatrix; | 
 | class SparseCholesky; | 
 | class InnerProductComputer; | 
 |  | 
 | // Subset preconditioning, uses a subset of the rows of the Jacobian | 
 | // to construct a preconditioner for the normal equations. | 
 | // | 
 | // To keep the interface simple, we assume that the matrix A has | 
 | // already been re-ordered that the user wishes to some subset of the | 
 | // bottom row blocks of the matrix as the preconditioner. This is | 
 | // controlled by | 
 | // Preconditioner::Options::subset_preconditioner_start_row_block. | 
 | // | 
 | // When using the subset preconditioner, all row blocks starting | 
 | // from this row block are used to construct the preconditioner. | 
 | // | 
 | // More precisely the matrix A is horizontally partitioned as | 
 | // | 
 | // A = [P] | 
 | //     [Q] | 
 | // | 
 | // where P as subset_preconditioner_start_row_block row blocks, | 
 | // and the preconditioner is the inverse of the matrix Q'Q. | 
 | // | 
 | // Obviously, the smaller this number, the more accurate and | 
 | // computationally expensive this preconditioner will be. | 
 | // | 
 | // See the tests for example usage. | 
 | class SubsetPreconditioner : public BlockSparseMatrixPreconditioner { | 
 |  public: | 
 |   SubsetPreconditioner(const Preconditioner::Options& options, | 
 |                        const BlockSparseMatrix& A); | 
 |   virtual ~SubsetPreconditioner(); | 
 |  | 
 |   // Preconditioner interface | 
 |   virtual void RightMultiply(const double* x, double* y) const; | 
 |   virtual int num_rows() const { return num_cols_; } | 
 |   virtual int num_cols() const { return num_cols_; } | 
 |  | 
 |  private: | 
 |   virtual bool UpdateImpl(const BlockSparseMatrix& A, const double* D); | 
 |  | 
 |   const Preconditioner::Options options_; | 
 |   const int num_cols_; | 
 |   scoped_ptr<SparseCholesky> sparse_cholesky_; | 
 |   scoped_ptr<InnerProductComputer> inner_product_computer_; | 
 | }; | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres | 
 |  | 
 | #endif  // CERES_INTERNAL_SUBSET_PRECONDITIONER_H_ |