internal/ceres/problem_impl.h

// 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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// Author: keir@google.com (Keir Mierle)
//
// This is the implementation of the public Problem API. The pointer to
// implementation (PIMPL) idiom makes it possible for Ceres internal code to
// refer to the private data members without needing to exposing it to the
// world. An alternative to PIMPL is to have a factory which returns instances
// of a virtual base class; while that approach would work, it requires clients
// to always put a Problem object into a scoped pointer; this needlessly muddies
// client code for little benefit. Therefore, the PIMPL comprise was chosen.

#ifndef CERES_PUBLIC_PROBLEM_IMPL_H_
#define CERES_PUBLIC_PROBLEM_IMPL_H_

#include <map>
#include <vector>

#include "ceres/internal/macros.h"
#include "ceres/internal/port.h"
#include "ceres/internal/scoped_ptr.h"
#include "ceres/problem.h"
#include "ceres/types.h"

namespace ceres {

class CostFunction;
class LossFunction;
class LocalParameterization;

namespace internal {

class Program;
class ResidualBlock;

class ProblemImpl {
 public:
  typedef map<double*, ParameterBlock*> ParameterMap;

  ProblemImpl();
  explicit ProblemImpl(const Problem::Options& options);

  ~ProblemImpl();

  // See the public problem.h file for description of these methods.
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   const vector<double*>& parameter_blocks);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0, double* x1);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0, double* x1, double* x2);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0, double* x1, double* x2,
                                   double* x3);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0, double* x1, double* x2,
                                   double* x3, double* x4);
  ResidualBlockId AddResidualBlock(CostFunction* cost_function,
                                   LossFunction* loss_function,
                                   double* x0, double* x1, double* x2,
                                   double* x3, double* x4, double* x5);
  void AddParameterBlock(double* values, int size);
  void AddParameterBlock(double* values,
                         int size,
                         LocalParameterization* local_parameterization);
  void SetParameterBlockConstant(double* values);
  void SetParameterBlockVariable(double* values);
  void SetParameterization(double* values,
                           LocalParameterization* local_parameterization);
  int NumParameterBlocks() const;
  int NumParameters() const;
  int NumResidualBlocks() const;
  int NumResiduals() const;

  const Program& program() const { return *program_; }
  Program* mutable_program() { return program_.get(); }

  const ParameterMap& parameter_map() const { return parameter_block_map_; }

 private:
  const Problem::Options options_;

  // The mapping from user pointers to parameter blocks.
  map<double*, ParameterBlock*> parameter_block_map_;

  internal::scoped_ptr<internal::Program> program_;
  DISALLOW_COPY_AND_ASSIGN(ProblemImpl);
};

}  // namespace internal
}  // namespace ceres

#endif  // CERES_PUBLIC_PROBLEM_IMPL_H_