Problem 484. Steepest Descent Method

Created by Robert Canfield
Appears in Numerical Methods

Difficulty:Rate

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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.

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Last Solution submitted on Mar 19, 2025

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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.

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Problem 484. Steepest Descent Method

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Last 200 Solutions

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LLMs with MATLAB updated to support the latest OpenAI Models

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Problem 484. Steepest Descent Method

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Last 200 Solutions

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LLMs with MATLAB updated to support the latest OpenAI Models

Problem Recent Solvers28

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