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%% Minimize Rosenbrock's Function % Minimize Rosenbrock's function, a notoriously difficult optimization % problem for many algorithms: % % $$f(x) = 100(x_2 - x_1^2)^2 + (1 - x_1)^2.$$ % % The function is minimized at the point |x = [1,1]| with minimum value % |0|. %% % Set the start point to |x0 = [-1.2,1]| and minimize Rosenbrock's % function using |fminsearch|. fun = @(x)100*(x(2) - x(1)^2)^2 + (1 - x(1))^2; x0 = [-1.2,1]; x = fminsearch(fun,x0)