snopt_toyprob.cpp

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#include <string>

#include "base.h"
#include "snopt_toyprob.h"

namespace pagmo { namespace problem {


snopt_toyprob::snopt_toyprob():base(2,0,1,2,2)
{
        const double lb[] = {0,-10};
        const double ub[] = {10,10};
        set_lb(lb);
        set_ub(ub);
}

base_ptr snopt_toyprob::clone() const
{
        return base_ptr(new snopt_toyprob(*this));
}

void snopt_toyprob::objfun_impl(fitness_vector &f, const decision_vector &x) const
{
        f[0] = x[1];
}

void snopt_toyprob::compute_constraints_impl(constraint_vector &c, const decision_vector &x) const
{
        c[0] = x[0] * x[0] + 4 * x[1] * x[1] - 4;
        c[1] = (x[0] - 2) * (x[0] - 2) + x[1] * x[1] - 5;
}

void snopt_toyprob::set_sparsity(int& lenG, std::vector<int>& iGfun, std::vector<int>& jGvar) const
{
        //Initial point
        decision_vector x0(2);
        x0[0] = 1; x0[1] = 1;
        //Numerical procedure
        this->estimate_sparsity(x0, lenG, iGfun, jGvar);
}

std::string snopt_toyprob::get_name() const
{
        return "SNOPT toy problem";
}

}}

BOOST_CLASS_EXPORT_IMPLEMENT(pagmo::problem::snopt_toyprob)