| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199 | // 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: keir@google.com (Keir Mierle)#ifndef CERES_INTERNAL_PROGRAM_H_#define CERES_INTERNAL_PROGRAM_H_#include <memory>#include <set>#include <string>#include <vector>#include "ceres/internal/port.h"#include "ceres/evaluation_callback.h"namespace ceres {namespace internal {class ParameterBlock;class ProblemImpl;class ResidualBlock;class TripletSparseMatrix;// A nonlinear least squares optimization problem. This is different from the// similarly-named "Problem" object, which offers a mutation interface for// adding and modifying parameters and residuals. The Program contains the core// part of the Problem, which is the parameters and the residuals, stored in a// particular ordering. The ordering is critical, since it defines the mapping// between (residual, parameter) pairs and a position in the jacobian of the// objective function. Various parts of Ceres transform one Program into// another; for example, the first stage of solving involves stripping all// constant parameters and residuals. This is in contrast with Problem, which is// not built for transformation.class Program { public:  Program();  explicit Program(const Program& program);  // The ordered parameter and residual blocks for the program.  const std::vector<ParameterBlock*>& parameter_blocks() const;  const std::vector<ResidualBlock*>& residual_blocks() const;  std::vector<ParameterBlock*>* mutable_parameter_blocks();  std::vector<ResidualBlock*>* mutable_residual_blocks();  EvaluationCallback* mutable_evaluation_callback();  // Serialize to/from the program and update states.  //  // NOTE: Setting the state of a parameter block can trigger the  // computation of the Jacobian of its local parameterization. If  // this computation fails for some reason, then this method returns  // false and the state of the parameter blocks cannot be trusted.  bool StateVectorToParameterBlocks(const double* state);  void ParameterBlocksToStateVector(double* state) const;  // Copy internal state to the user's parameters.  void CopyParameterBlockStateToUserState();  // Set the parameter block pointers to the user pointers. Since this  // runs parameter block set state internally, which may call local  // parameterizations, this can fail. False is returned on failure.  bool SetParameterBlockStatePtrsToUserStatePtrs();  // Update a state vector for the program given a delta.  bool Plus(const double* state,            const double* delta,            double* state_plus_delta) const;  // Set the parameter indices and offsets. This permits mapping backward  // from a ParameterBlock* to an index in the parameter_blocks() vector. For  // any parameter block p, after calling SetParameterOffsetsAndIndex(), it  // is true that  //  //   parameter_blocks()[p->index()] == p  //  // If a parameter appears in a residual but not in the parameter block, then  // it will have an index of -1.  //  // This also updates p->state_offset() and p->delta_offset(), which are the  // position of the parameter in the state and delta vector respectively.  void SetParameterOffsetsAndIndex();  // Check if the internal state of the program (the indexing and the  // offsets) are correct.  bool IsValid() const;  bool ParameterBlocksAreFinite(std::string* message) const;  // Returns true if the program has any non-constant parameter blocks  // which have non-trivial bounds constraints.  bool IsBoundsConstrained() const;  // Returns false, if the program has any constant parameter blocks  // which are not feasible, or any variable parameter blocks which  // have a lower bound greater than or equal to the upper bound.  bool IsFeasible(std::string* message) const;  // Loop over each residual block and ensure that no two parameter  // blocks in the same residual block are part of  // parameter_blocks as that would violate the assumption that it  // is an independent set in the Hessian matrix.  bool IsParameterBlockSetIndependent(      const std::set<double*>& independent_set) const;  // Create a TripletSparseMatrix which contains the zero-one  // structure corresponding to the block sparsity of the transpose of  // the Jacobian matrix.  //  // start_residual_block which allows the user to ignore the first  // start_residual_block residuals.  std::unique_ptr<TripletSparseMatrix> CreateJacobianBlockSparsityTranspose(      int start_residual_block = 0) const;  // Create a copy of this program and removes constant parameter  // blocks and residual blocks with no varying parameter blocks while  // preserving their relative order.  //  // removed_parameter_blocks on exit will contain the list of  // parameter blocks that were removed.  //  // fixed_cost will be equal to the sum of the costs of the residual  // blocks that were removed.  //  // If there was a problem, then the function will return a NULL  // pointer and error will contain a human readable description of  // the problem.  Program* CreateReducedProgram(std::vector<double*>* removed_parameter_blocks,                                double* fixed_cost,                                std::string* error) const;  // See problem.h for what these do.  int NumParameterBlocks() const;  int NumParameters() const;  int NumEffectiveParameters() const;  int NumResidualBlocks() const;  int NumResiduals() const;  int MaxScratchDoublesNeededForEvaluate() const;  int MaxDerivativesPerResidualBlock() const;  int MaxParametersPerResidualBlock() const;  int MaxResidualsPerResidualBlock() const;  // A human-readable dump of the parameter blocks for debugging.  // TODO(keir): If necessary, also dump the residual blocks.  std::string ToString() const; private:  // Remove constant parameter blocks and residual blocks with no  // varying parameter blocks while preserving their relative order.  //  // removed_parameter_blocks on exit will contain the list of  // parameter blocks that were removed.  //  // fixed_cost will be equal to the sum of the costs of the residual  // blocks that were removed.  //  // If there was a problem, then the function will return false and  // error will contain a human readable description of the problem.  bool RemoveFixedBlocks(std::vector<double*>* removed_parameter_blocks,                         double* fixed_cost,                         std::string* message);  // The Program does not own the ParameterBlock or ResidualBlock objects.  std::vector<ParameterBlock*> parameter_blocks_;  std::vector<ResidualBlock*> residual_blocks_;  EvaluationCallback* evaluation_callback_ = nullptr;  friend class ProblemImpl;};}  // namespace internal}  // namespace ceres#endif  // CERES_INTERNAL_PROGRAM_H_
 |