Problem 484. Steepest Descent Method

Created by Robert Canfield
Appears in Computational Geometry II

Difficulty:Rate

Solve Later
Add To GroupÃ‚

Write a function to find the values of a design variable vector, x, that minimizes an unconstrained scalar objective function, f, given a function handle to f and its gradient, a starting guess, x0, a gradient tolerance, TolGrad, and a maximum number of iterations, MaxIter, using the Steepest Descent Method.

Solve

Solution Stats

227 Solutions
28 Solvers

Last Solution submitted on Feb 03, 2025

Last 200 Solutions

Problem Comments

4 Comments

4 Comments

Show 1 older comment

Robert Canfield on 16 Mar 2012

Yes.

@bmtran (Bryant Tran) on 19 Mar 2012

neat!

Rafael S.T. Vieira on 17 Jun 2020

Max iterations in the test cases should be higher. For instance, unless we are calculating the exact solution, one iteration is not realistic. People are overcoming this by increasing the number inside their code or using matlab functions that can freely iterate in their code.

Solution Comments

Show comments

Problem Recent Solvers28

Problem Tags

Community Treasure Hunt

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

Start Hunting!