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OM/Claudio_Maggioni_3/BGFS.m

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2021-04-20 13:04:00 +00:00
function [xk, xs, gs] = BGFS(f, x0, H, max_itr, tol)
syms x y;
xk = x0;
gf = gradient(f);
fl = matlabFunction(f);
gfl = matlabFunction(gf);
tnorm = norm(at(gf, xk), 2);
xs = zeros(size(x0, 1), max_itr + 1);
xs(:, 1) = x0;
gs = zeros(1, max_itr + 1);
gs(1) = tnorm;
k = 1;
I = eye(2);
while tnorm > tol && k <= max_itr
grad = gfl(xk(1), xk(2));
p = -H * grad;
alpha = backtracking(fl, gfl, p, xk, 1, 0.9, 1e-4);
xk = xk + alpha * p;
s = alpha * p;
y = gfl(xk(1), xk(2)) - grad;
rho = 1 / (y' * s);
H = (I - (rho * s * y')) * H * (I - (rho * y * s')) ...
+ (1 / (y' * s) * (s * s'));
k = k + 1;
xs(:, k) = xk;
tnorm = norm(gfl(xk(1), xk(2)), 2);
gs(k) = tnorm;
end
xs = xs(:, 1:k);
gs = gs(:, 1:k);
end