IterativeSolver.h

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/* ----------------------------------------------------------------------------
 
 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
 * Atlanta, Georgia 30332-0415
 * All Rights Reserved
 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
 
 * See LICENSE for the license information
 
 * -------------------------------------------------------------------------- */
 
#pragma once
 
#include <gtsam/inference/Ordering.h>
#include <gtsam/base/Vector.h>
 
#include <boost/tuple/tuple.hpp>
#include <boost/shared_ptr.hpp>
#include <boost/optional.hpp>
 
#include <iosfwd>
#include <string>
#include <map>
 
namespace gtsam {
 
// Forward declarations
struct KeyInfoEntry;
class KeyInfo;
class GaussianFactorGraph;
class Values;
class VectorValues;
 
class IterativeOptimizationParameters {
 
public:
 
  typedef boost::shared_ptr<IterativeOptimizationParameters> shared_ptr;
  enum Verbosity {
    SILENT = 0, COMPLEXITY, ERROR
  } verbosity_;
 
public:
 
  IterativeOptimizationParameters(Verbosity v = SILENT) :
      verbosity_(v) {
  }
 
  virtual ~IterativeOptimizationParameters() {
  }
 
  /* utility */
  inline Verbosity verbosity() const {
    return verbosity_;
  }
  GTSAM_EXPORT std::string getVerbosity() const;
  GTSAM_EXPORT void setVerbosity(const std::string &s);
 
  /* matlab interface */
  GTSAM_EXPORT void print() const;
 
  /* virtual print function */
  GTSAM_EXPORT virtual void print(std::ostream &os) const;
 
  /* for serialization */
  friend std::ostream& operator<<(std::ostream &os,
      const IterativeOptimizationParameters &p);
 
  GTSAM_EXPORT static Verbosity verbosityTranslator(const std::string &s);
  GTSAM_EXPORT static std::string verbosityTranslator(Verbosity v);
};
 
class IterativeSolver {
public:
  typedef boost::shared_ptr<IterativeSolver> shared_ptr;
  IterativeSolver() {
  }
  virtual ~IterativeSolver() {
  }
 
  /* interface to the nonlinear optimizer, without metadata, damping and initial estimate */
  GTSAM_EXPORT VectorValues optimize(const GaussianFactorGraph &gfg,
      boost::optional<const KeyInfo&> = boost::none,
      boost::optional<const std::map<Key, Vector>&> lambda = boost::none);
 
  /* interface to the nonlinear optimizer, without initial estimate */
  GTSAM_EXPORT VectorValues optimize(const GaussianFactorGraph &gfg, const KeyInfo &keyInfo,
      const std::map<Key, Vector> &lambda);
 
  /* interface to the nonlinear optimizer that the subclasses have to implement */
  virtual VectorValues optimize(const GaussianFactorGraph &gfg,
      const KeyInfo &keyInfo, const std::map<Key, Vector> &lambda,
      const VectorValues &initial) = 0;
 
};
 
struct GTSAM_EXPORT KeyInfoEntry {
  size_t index, dim, start;
  KeyInfoEntry() {
  }
  KeyInfoEntry(size_t idx, size_t d, Key start) :
      index(idx), dim(d), start(start) {
  }
};
 
class GTSAM_EXPORT KeyInfo: public std::map<Key, KeyInfoEntry> {
 
public:
 
  typedef std::map<Key, KeyInfoEntry> Base;
 
protected:
 
  Ordering ordering_;
  size_t numCols_;
 
  void initialize(const GaussianFactorGraph &fg);
 
public:
 
  KeyInfo() :
      numCols_(0) {
  }
 
  KeyInfo(const GaussianFactorGraph &fg);
 
  KeyInfo(const GaussianFactorGraph &fg, const Ordering &ordering);
 
  inline size_t numCols() const {
    return numCols_;
  }
 
  inline const Ordering & ordering() const {
    return ordering_;
  }
 
  std::vector<size_t> colSpec() const;
 
  VectorValues x0() const;
 
  Vector x0vector() const;
 
};
 
} // \ namespace gtsam