126 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			126 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			C++
		
	
	
| /* ----------------------------------------------------------------------------
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| 
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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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| 
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|  * See LICENSE for the license information
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| 
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|  * -------------------------------------------------------------------------- */
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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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| 
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| #pragma once
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| 
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| #include <gtsam/linear/JacobianFactor.h>
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| 
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| namespace gtsam {
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| 
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| typedef Eigen::RowVectorXd RowVector;
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| 
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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 boost::shared_ptr<This> shared_ptr; ///< shared_ptr to this class
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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| 	/** Construct unary factor */
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| 	LinearCost(Key i1, const RowVector& A1) :
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| 			Base(i1, A1, zero(1)) {
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| 	}
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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,
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| 			double b) :
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| 			Base(i1, A1, i2, A2, zero(1)) {
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| 	}
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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, zero(1)) {
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| 	}
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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, zero(1)) {
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| 	}
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| 
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| 	/** Virtual destructor */
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| 	virtual ~LinearCost() {
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| 	}
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| 
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| 	/** equals */
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| 	virtual bool equals(const GaussianFactor& lf, double tol = 1e-9) const {
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| 		return Base::equals(lf, tol);
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| 	}
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| 
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| 	/** print */
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| 	virtual void print(const std::string& s = "",
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| 			const KeyFormatter& formatter = DefaultKeyFormatter) const {
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| 		Base::print(s + " LinearCost: ", formatter);
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| 	}
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| 
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| 	/** Clone this LinearCost */
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| 	virtual GaussianFactor::shared_ptr clone() const {
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| 		return boost::static_pointer_cast<GaussianFactor>(
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| 				boost::make_shared<LinearCost>(*this));
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| 	}
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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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| 
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| 	/** Special error for single-valued inequality constraints. */
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| 	virtual double error(const VectorValues& c) const {
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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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| 
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| /// traits
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| template<> struct traits<LinearCost> : public Testable<LinearCost> {
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| };
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| 
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| } // \ namespace gtsam
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| 
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