asa047

asa047, a Python code which minimizes a scalar function of several variables using the Nelder-Mead algorithm, by R ONeill.

This is a version of Applied Statistics Algorithm 47.

Licensing:

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

Languages:

asa047 is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.

Author:

Original Fortran77 version by R ONeill; Python version by John Burkardt.

Relatd programs and data:

compass_search, a Python code which seeks the minimizer of a scalar function of several variables using compass search, a direct search algorithm that does not use derivatives.

toms178, a Python 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.

Reference:

1. John Nelder, Roger Mead,
   A simplex method for function minimization,
   Computer Journal,
   Volume 7, 1965, pages 308-313.
2. R ONeill,
   Algorithm AS 47: Function Minimization Using a Simplex Procedure,
   Applied Statistics,
   Volume 20, Number 3, 1971, pages 338-345.

Source Code:

• asa047.py the source code.
• asa047.sh, runs all the tests.
• asa047.txt, the output file.