Problem 484. Steepest Descent Method
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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4 Comments
Yes.
neat!
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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