opencv/modules/optim/src/lpsolver.cpp

#include "precomp.hpp"

namespace cv{namespace optim{

double LPSolver::solve(const Function& F,const Constraints& C, OutputArray result)const{
    printf("call to solve\n");

    //TODO: sanity check and throw exception, if appropriate

    //TODO: copy A,b,z
    
    //TODO: run simplex algo

    return 0.0;
}

double LPSolver::LPFunction::calc(InputArray args)const{
    printf("call to LPFunction::calc()\n");
    return 0.0;
}

}}
Blank module and first draft of solver API. At this point we have a skeleton of a new module (optim) which can barely compile properly (unlike previous commit). Besides, there is a first draft of solver and lpsolver (linear optimization solver) in this commit. 2013-06-20 19:54:09 +08:00			`#include "precomp.hpp"`
Created skeleton for simplex method. Added LPSolver class together with two nested classes: LPFunction and LPConstraints. These represent function to be maximized and constraints imposed respectively. They are implementations of interfaces Function and Constraints respectively (latter ones are nested classes of Solver interface, which is generic interface for all optimization algorithms to be implemented within this project). The next step is to implement the simplex algorithm! First, we shall implement it for the case of constraints of the form Ax<=b and x>=0. Then, we shall extend the sets of problems that can be handled by the conversion to the one we've handled already. Finally, we shale concentrate on numerical stability and efficiency. 2013-06-25 01:27:11 +08:00
			`namespace cv{namespace optim{`

			`double LPSolver::solve(const Function& F,const Constraints& C, OutputArray result)const{`
			`printf("call to solve\n");`

			`//TODO: sanity check and throw exception, if appropriate`

			`//TODO: copy A,b,z`

			`//TODO: run simplex algo`

			`return 0.0;`
			`}`

			`double LPSolver::LPFunction::calc(InputArray args)const{`
			`printf("call to LPFunction::calc()\n");`
			`return 0.0;`
			`}`

			`}}`