125 lines
		
	
	
		
			3.4 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			125 lines
		
	
	
		
			3.4 KiB
		
	
	
	
		
			C++
		
	
	
/* ----------------------------------------------------------------------------
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 * GTSAM Copyright 2010, Georgia Tech Research Corporation,
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 * Atlanta, Georgia 30332-0415
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 * All Rights Reserved
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 * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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 * See LICENSE for the license information
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 * -------------------------------------------------------------------------- */
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/**
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 * @file    LinearCost.h
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 * @brief   LinearCost derived from JacobianFactor to support linear cost functions c'x
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 * @date    Nov 27, 2014
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 * @author  Duy-Nguyen Ta
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 */
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#pragma once
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#include <gtsam/linear/JacobianFactor.h>
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namespace gtsam {
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typedef Eigen::RowVectorXd RowVector;
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/**
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 * This class defines a linear cost function c'x
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 * which is a JacobianFactor with only one row
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 */
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class LinearCost: public JacobianFactor {
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public:
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  typedef LinearCost This; ///< Typedef to this class
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  typedef JacobianFactor Base; ///< Typedef to base class
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  typedef std::shared_ptr<This> shared_ptr; ///< shared_ptr to this class
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public:
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  /** default constructor for I/O */
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  LinearCost() :
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      Base() {
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  }
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  /** Conversion from HessianFactor */
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  explicit LinearCost(const HessianFactor& hf) {
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    throw std::runtime_error("Cannot convert HessianFactor to LinearCost");
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  }
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  /** Conversion from JacobianFactor */
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  explicit LinearCost(const JacobianFactor& jf) :
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      Base(jf) {
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    if (jf.isConstrained()) {
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      throw std::runtime_error(
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          "Cannot convert a constrained JacobianFactor to LinearCost");
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    }
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    if (jf.get_model()->dim() != 1) {
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      throw std::runtime_error(
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          "Only support single-valued linear cost factor!");
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    }
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  }
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  /** Construct unary factor */
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  LinearCost(Key i1, const RowVector& A1) :
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      Base(i1, A1, Vector1::Zero()) {
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  }
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  /** Construct binary factor */
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  LinearCost(Key i1, const RowVector& A1, Key i2, const RowVector& A2, double b) :
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      Base(i1, A1, i2, A2, Vector1::Zero()) {
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  }
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  /** Construct ternary factor */
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  LinearCost(Key i1, const RowVector& A1, Key i2, const RowVector& A2, Key i3,
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      const RowVector& A3) :
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      Base(i1, A1, i2, A2, i3, A3, Vector1::Zero()) {
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  }
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  /** Construct an n-ary factor
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   * @tparam TERMS A container whose value type is std::pair<Key, Matrix>, specifying the
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   *         collection of keys and matrices making up the factor. */
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  template<typename TERMS>
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  LinearCost(const TERMS& terms) :
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      Base(terms, Vector1::Zero()) {
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  }
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  /** Virtual destructor */
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  ~LinearCost() override {
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  }
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  /** equals */
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  bool equals(const GaussianFactor& lf, double tol = 1e-9) const override {
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    return Base::equals(lf, tol);
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  }
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  /** print */
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  void print(const std::string& s = "", const KeyFormatter& formatter =
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      DefaultKeyFormatter) const override {
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    Base::print(s + " LinearCost: ", formatter);
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  }
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  /** Clone this LinearCost */
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  GaussianFactor::shared_ptr clone() const override {
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    return std::static_pointer_cast < GaussianFactor
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        > (std::make_shared < LinearCost > (*this));
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  }
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  /** Special error_vector for constraints (A*x-b) */
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  Vector error_vector(const VectorValues& c) const {
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    return unweighted_error(c);
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  }
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  /** Special error for single-valued inequality constraints. */
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  double error(const VectorValues& c) const override {
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    return error_vector(c)[0];
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  }
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};
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// \ LinearCost
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/// traits
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template<> struct traits<LinearCost> : public Testable<LinearCost> {
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};
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} // \ namespace gtsam
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