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Refined interface for Conjugate Gradient

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Some interface was refined (most notably, the method for returning
Hessian was removed and the method for getting gradient was added as
optional to base Solver::Function class) and basic code for
setters/getters was added. Now is the time for the real work on an
algorithm.
This commit is contained in:
Alex Leontiev
2013-09-22 00:14:49 +08:00
parent eb1333d0a8
commit 581d454536
5 changed files with 157 additions and 12 deletions
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13
modules/optim/include/opencv2/optim.hpp
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@@ -55,6 +55,7 @@ public:
public:
virtual ~Function() {}
virtual double calc(const double* x) const = 0;
virtual void getGradient(const double* /*x*/,double* /*grad*/) {}
};
virtual Ptr<Function> getFunction() const = 0;
@@ -86,17 +87,7 @@ CV_EXPORTS_W Ptr<DownhillSolver> createDownhillSolver(const Ptr<Solver::Function
TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS,5000,0.000001));
//! conjugate gradient method
class CV_EXPORTS ConjGradSolver : public Solver
{
public:
class CV_EXPORTS Function : public Solver::Function
{
public:
//! gradient is like the first derivative for multivar function
virtual void getGradient(const double* x,double* buf)const=0;
//! Jacobian is like the second derivative
virtual void getJacobian(const double* x)const=0;
};
class CV_EXPORTS ConjGradSolver : public Solver{
};
CV_EXPORTS_W Ptr<ConjGradSolver> createConjGradSolver(const Ptr<Solver::Function>& f=Ptr<ConjGradSolver::Function>(),