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#include <Eigen/Core> | |
#include <iostream> | |
#include <LBFGS.h> | |
using namespace std; | |
using namespace LBFGSpp; | |
using Eigen::Vector2d; | |
using Eigen::VectorXd; | |
int main() { | |
LBFGSParam<double> param; | |
param.max_iterations = 100; | |
LBFGSSolver<double> solver(param); | |
auto fun = [] (const VectorXd &x, VectorXd &grad) -> double { | |
double mu = 0.0001; | |
double fx = x(1);//sqrt(x(1)); | |
double a1 = 2; | |
double b1 = 0; | |
double a2 = -1; | |
double b2 = 1; | |
// c_i >= 0 | |
double c1 = x(1) - pow(a1*x(0)+b1, 3); | |
double c2 = x(1) - pow(a2*x(0)+b2, 3); | |
double c3 = x(1); | |
fx += c1 > 0 ? -mu*log(c1) : std::numeric_limits<double>::infinity(); | |
fx += c2 > 0 ? -mu*log(c2) : std::numeric_limits<double>::infinity(); | |
fx += c3 > 0 ? -mu*log(c3) : std::numeric_limits<double>::infinity(); | |
grad = Vector2d(0., 1/* / sqrt(x(1))*/); | |
grad += -mu/c1 * Vector2d(-3*pow(a1*x(0)+b1, 2), 1); | |
grad += -mu/c2 * Vector2d(-3*pow(a2*x(0)+b2, 2), 1); | |
grad += -mu/c3 * Vector2d(0.,1.); | |
return fx; | |
}; | |
VectorXd x = Vector2d(0., 100.); | |
double fx; | |
solver.minimize(fun, x, fx); | |
cout << "fx = " << fx << endl; | |
cout << "x = " << x << endl; | |
} |
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