54 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			54 lines
		
	
	
		
			1.5 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     QPInitSolver.h
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|  * @brief    This finds a feasible solution for a QP problem
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|  * @author   Duy Nguyen Ta
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|  * @author   Ivan Dario Jimenez
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|  * @date     6/16/16
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|  */
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| 
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| #pragma once
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| 
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| #include <gtsam_unstable/linear/LPInitSolver.h>
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| 
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| namespace gtsam {
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| 
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| /**
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|  * This class finds a feasible solution for a QP problem.
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|  * This uses the Matlab strategy for initialization
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|  * For details, see
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|  * http://www.mathworks.com/help/optim/ug/quadratic-programming-algorithms.html#brrzwpf-22
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|  */
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| class QPInitSolver {
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|     const QP& qp_;
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| public:
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|     /// Constructor with a QP problem
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|     QPInitSolver(const QP& qp) : qp_(qp) {}
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| 
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|     ///@return a feasible initialization point
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|     VectorValues solve() const {
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|       // Make an LP with any linear cost function. It doesn't matter for
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|       // initialization.
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|       LP initProblem;
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|       // make an unrelated key for a random variable cost
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|       Key newKey = maxKey(qp_) + 1;
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|       initProblem.cost = LinearCost(newKey, Vector::Ones(1));
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|       initProblem.equalities = qp_.equalities;
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|       initProblem.inequalities = qp_.inequalities;
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|       LPInitSolver initSolver(initProblem);
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|       return initSolver.solve();
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|     }
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| };
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| 
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| 
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| } |