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Simplex optimization toolbox

This package contains the simplex optimization method

(9359 downloads for this version - 17073 downloads for all versions)

Details

Version

2.0.1

Author

Yann COLLETTE

Owner Organization

Home

Maintainer

Yann COLLETTE

Category

Optimization - Linear

Website

http://code.google.com/p/scilab-mip

License

CeCILL

Creation Date

September 26, 2012

Source created on

Scilab 5.4.x

Binaries available on

Scilab 5.4.x:

Linux 32-bit

Windows 32-bit

Windows 64-bit

macOS

Linux 64-bit

Install command

--> atomsInstall("simplex")

Report a bug

GitLab's issues for simplex

Description

            This the simplex optimization method which performs optimization of non linear
function. This optimization method doesn't use the derivative of the objective
function.
There is 2 versions of the simplex:
- optim_nelder_mead: a classic script for optimization
- step_nelder_mead: the call to the objective function is done outside of the
script.

Files (6)

[27.74 kB]

simplex-2.0.1-1-src.zip

Source code archive

makes it available for scilab 5.4

Upload date : 2012-09-26 11:28:10
MD5         : 36dc17b6a24c1091b6fbee5ed8cfe32b
SHA1        : f2d3809a263a3fd7ab1df3dfdcad54750653265c
Downloads   : 1256
 File list

[54.30 kB]

simplex_2.0.1-1.bin.i686.linux.tar.gz

Linux 32-bit binary for Scilab 5.4.x

Linux 32-bit
Automatically generated by the ATOMS compilation chain

Upload date : 2012-09-26 11:29:10
MD5         : 2ac454b601fdf964ef112c73bf5363d9
SHA1        : 7a497a4bae1a0f8e23852113040284c21b964e58
Downloads   : 957
 File list

[72.81 kB]

simplex_2.0.1-1.bin.windows.zip

Windows 32-bit binary for Scilab 5.4.x

Windows 32-bit
Automatically generated by the ATOMS compilation chain

Upload date : 2012-09-26 11:29:00
MD5         : c48e2dd0f2cab21f6bbf93fd264bc5aa
SHA1        : 6a831a93c0f617ec53b24cc2c08ec1a246be50da
Downloads   : 1530
 File list

[72.85 kB]

simplex_2.0.1-1.bin.x64.windows.zip

Windows 64-bit binary for Scilab 5.4.x

Windows 64-bit
Automatically generated by the ATOMS compilation chain

Upload date : 2012-09-26 11:28:31
MD5         : fc55d820b88209a07fbcd0c95f6c3714
SHA1        : 004bfd041eaa179a58c16dbb3d555fc3c4da6417
Downloads   : 2806
 File list

[54.29 kB]

simplex_2.0.1-1.bin.x86_64.darwin.tar.gz

macOS binary for Scilab 5.4.x

MacOSX version
Automatically generated by the ATOMS compilation chain

Upload date : 2012-09-26 11:31:20
MD5         : 5f74e5c7dda68e8e3efcb3b78285476d
SHA1        : c4e41b6cfdfe03635095aac103906a021ef932cd
Downloads   : 1186
 File list

[54.54 kB]

simplex_2.0.1-1.bin.x86_64.linux.tar.gz

Linux 64-bit binary for Scilab 5.4.x

Linux 64-bit
Automatically generated by the ATOMS compilation chain

Upload date : 2012-09-26 11:30:11
MD5         : dce0bba9719b5d35a3bdba3aadeb3ab6
SHA1        : d4dff6e9b704e52caadefdff6794619306f7492c
Downloads   : 1624
 File list

News (0)

Comments (1) ↑ Leave a comment

Comment from Michael BAUDIN -- February 27, 2016, 11:06:53 AM

Hi,

This is a message for users searching an derivative-free optimization function. 
Scilab 5 has a fminsearch function with Nelder-Mead algorithm, based on its
"neldermead" 
module. The fminsearch function has full help pages and unit tests, with powerful 
options such as full exit status, full display control, an output function system (with 
a output function implementation), a plot function (with a default implementation), 
etc... 

This is why the "optim_nelder_mead" of the simplex module is very interesting for

understanding the algorithm in detail (e.g. for academic purposes), but is unnecessary 
for industrial practice. 

The "step_nelder_mead" function on the other hand allows to evaluate the
objective 
function outside Scilab, which is an interesting feature (although there are rare 
situations where this is required).

Best regards,

Michaël