Estimate the minimum point given any function

13 次查看(过去 30 天)
Dear all, would like to get your help on this question!
Given any function input as a m-file,
(For example
function y = f(x)
% This is an continuous function defined on [1,2]
% where you are required to find the minimum.
y= cos(x)^2;
end )
How would you estimate the minimum point such that the estimate is within the error tolerance of 0.01?
I was thinking along this.. I can calculate the real exact value of the minimum point, but I need to use a method to estimate the minimum point so that the error between the real and the estimate is less than 0.01. But not sure what method I need to use to estimate the minimum point.
So far, Ive learnt bisection method, newton mtd, secant method in school.
THANK YOU

回答(2 个)

A Jenkins
A Jenkins 2013-10-11
FMINBND Single-variable bounded nonlinear function minimization.
X = FMINBND(FUN,x1,x2) attempts to find a local minimizer X of the function FUN in the interval x1 < X < x2. FUN is a function handle. FUN accepts scalar input X and returns a scalar function value F evaluated at X.
Unless your professor wants you to write your own...

Matt J
Matt J 2013-10-11
You could just sample the function and use MIN, as proposed here,

类别

Help CenterFile Exchange 中查找有关 Encryption / Cryptography 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by