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.
Solution Stats
Problem Comments
4 Comments
Solution Comments
Show comments
Loading...
Problem Recent Solvers32
Suggested Problems
-
Get the area codes from a list of phone numbers
1072 Solvers
-
Back to basics 21 - Matrix replicating
1794 Solvers
-
Back to basics 22 - Rotate a matrix
936 Solvers
-
271 Solvers
-
Mirror Image matrix across anti-diagonal
216 Solvers
More from this Author17
Problem Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
are these extra credit homework assignments or something?
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.