toms178_test

toms178_test, a MATLAB code which calls toms178(), which implements the Hooke-Jeeves direct search algorithm to seek the minimizing point of a function F(X) of several variables.

Licensing:

The information on this web page is distributed under the MIT license.

Related Data and Programs:

toms178, a MATLAB code which optimizes a scalar functional of multiple variables using the Hooke-Jeeves method, by Arthur Kaupe. This is a version of ACM TOMS algorithm 178.

Source Code:

• toms178_test.m, calls all the tests.
• toms178_test.sh, runs all the tests.
• toms178_test.txt, the output file.

• toms178_test01.m, tests HOOKE on the Rosenbrock function.
• toms178_test02.m, tests HOOKE on the Woods function.
• rosenbrock.m, evaluates the Rosenbrock function.
• woods.m, evaluates the Woods function.