| // 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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 | //   specific prior written permission. | 
 | // | 
 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
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 | // | 
 | // Author: keir@google.com (Keir Mierle) | 
 | // | 
 | // A jacobian writer that writes to dense Eigen matrices. | 
 |  | 
 | #ifndef CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_ | 
 | #define CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_ | 
 |  | 
 | #include "ceres/casts.h" | 
 | #include "ceres/dense_sparse_matrix.h" | 
 | #include "ceres/parameter_block.h" | 
 | #include "ceres/program.h" | 
 | #include "ceres/residual_block.h" | 
 | #include "ceres/scratch_evaluate_preparer.h" | 
 | #include "ceres/internal/eigen.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | class DenseJacobianWriter { | 
 |  public: | 
 |   DenseJacobianWriter(Evaluator::Options /* ignored */, | 
 |                       Program* program) | 
 |     : program_(program) { | 
 |   } | 
 |  | 
 |   // JacobianWriter interface. | 
 |  | 
 |   // Since the dense matrix has different layout than that assumed by the cost | 
 |   // functions, use scratch space to store the jacobians temporarily then copy | 
 |   // them over to the larger jacobian later. | 
 |   ScratchEvaluatePreparer* CreateEvaluatePreparers(int num_threads) { | 
 |     return ScratchEvaluatePreparer::Create(*program_, num_threads); | 
 |   } | 
 |  | 
 |   SparseMatrix* CreateJacobian() const { | 
 |     return new DenseSparseMatrix(program_->NumResiduals(), | 
 |                                  program_->NumEffectiveParameters(), | 
 |                                  true); | 
 |   } | 
 |  | 
 |   void Write(int residual_id, | 
 |              int residual_offset, | 
 |              double **jacobians, | 
 |              SparseMatrix* jacobian) { | 
 |     DenseSparseMatrix* dense_jacobian; | 
 |     if (jacobian != NULL) { | 
 |       dense_jacobian = down_cast<DenseSparseMatrix*>(jacobian); | 
 |     } | 
 |     const ResidualBlock* residual_block = | 
 |         program_->residual_blocks()[residual_id]; | 
 |     int num_parameter_blocks = residual_block->NumParameterBlocks(); | 
 |     int num_residuals = residual_block->NumResiduals(); | 
 |  | 
 |     // Now copy the jacobians for each parameter into the dense jacobian matrix. | 
 |     for (int j = 0; j < num_parameter_blocks; ++j) { | 
 |       ParameterBlock* parameter_block = residual_block->parameter_blocks()[j]; | 
 |  | 
 |       // If the parameter block is fixed, then there is nothing to do. | 
 |       if (parameter_block->IsConstant()) { | 
 |         continue; | 
 |       } | 
 |  | 
 |       const int parameter_block_size = parameter_block->LocalSize(); | 
 |       ConstMatrixRef parameter_jacobian(jacobians[j], | 
 |                                         num_residuals, | 
 |                                         parameter_block_size); | 
 |  | 
 |       dense_jacobian->mutable_matrix().block( | 
 |           residual_offset, | 
 |           parameter_block->delta_offset(), | 
 |           num_residuals, | 
 |           parameter_block_size) = parameter_jacobian; | 
 |     } | 
 |   } | 
 |  | 
 |  private: | 
 |   Program* program_; | 
 | }; | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres | 
 |  | 
 | #endif  // CERES_INTERNAL_DENSE_JACOBIAN_WRITER_H_ |