These Scilab files are implementations of the algorithms from the book
'Iterative Methods for Optimization', published by SIAM, by C. T. Kelley. The
book, which describes the algorithms, is available from SIAM (email@example.com).
The optimization codes have the calling convention
[f,g] = objective(x)
returns both the objective function value f and the gradient vector g. I
expect g to be a column vector. The Nelder-Mead, Hooke-Jeeves, Implicit
Filtering, and MDS codes do not ask for a gradient.
Professor C. T. Kelley
Department of Mathematics, Box 8205
North Carolina State University
Raleigh, NC 27695-8205
(919) 515-3798 (FAX)
Yann Collette, 2008
Michael Baudin, DIGITEO, 2010
These files have been ported into Scilab by Yann Collette in 2008.
In 2010, the update of the module to Scilab 5.2 has been performed by Michael
Baudin, with formatting of the help pages and bug fixes. The bug fixes include
the optkelley_nelder function, with replacement of the call to sort with call to
mtlb_sort. It also includes the replacement of sum with mtlb_sum. The functions
are now consistently named. Several unit tests have been added, as well as
demos. The error message use now mprintf, with the name of the routine first.