www.gusucode.com > distcomp 案例源码程序 matlab代码 > distcomp/pctdemo_task_tutorial_taskfunction.m
function xmin = pctdemo_task_tutorial_taskfunction(x) %pctdemo_task_tutorial_taskfunction Minimize the Rosenbrock function. % xmin = pctdemo_task_tutorial_taskfunctions(x) returns the minimum of the % Rosenbrock function that is found by starting at [-x(i), x(i)]. % The output vector xmin is of the same length as the input vector x. % Copyright 2007 The MathWorks, Inc. xmin = zeros(numel(x), 2); for i = 1:numel(x) xmin(i, :) = fminsearch(@iRosenbrock, [-x(i), x(i)]); end end % End of pctdemo_task_tutorial_taskfunction. function y = iRosenbrock(x) % The well-known optimization test function, the Rosenbrock function. y = 100*(x(2)-x(1)^2)^2+(1-x(1))^2; end