Draft talk:Lp solve

On notability[edit]

I agree that original article lacks references to reliable sources, but that's the problem with article, not lp_solve package itself.

The library itself is quite significant:

it is one of the few (two?) open sources LP/MILP solvers licensed under non-copyleft terms (BSD, LGPL). See Linear_programming#Solvers_and_scripting_(programming)_languages
google site:arxiv.org lp_solve returns ~200 articles using software (for comparison, site:arxiv.org glpk returns ~400 articles, just 2x more).
finally, the package is regularly updated and Sourceforge download stats show that it is quite popular.

I propose to reinstate article, and to let me improve it in a few days. I am not connected with library authors in any way, but I have experience in numericaly analysis, and I clearly see that the project is quite significant.

K.menin —Preceding undated comment added 12:22, 6 November 2017 (UTC)[reply]

Why missing content?[edit]

Why is the content page for Lp_solve missing?

It is kept up to date, is one of only a few widely known non-commercial packages (see links below), has many language bindings, and permissive licensing terms. When searching for recommendations, there are many references that compare lp_solve with glpk and coin-lp (clp). The comparison papers rank it below glpk and clp in performance (CPU time and number of problems solved), but I don't think that should cause denial of a wikipedia page if its competitors have pages.

Here are a few web references that discuss lp_solve and compare the package with others.

http://prod.sandia.gov/techlib/access-control.cgi/2013/138847.pdf : 2013 report from Sandia National Laboratories. lp_solve was one of the few open source solvers selected for study.

http://www.ceem.unsw.edu.au/sites/default/files/uploads/publications/stu-ORMMES06_Benchmarking_20060610_FINAL_CEEM.pdf : 2006 paper on evaluation of open-source LP optimizers for a certain problem domain. Only three were considered: GLPK, COIN-LP (CLP), and lpsolve.

http://www.tdp.cat/issues11/tdp.a114a12.pdf : 2013 paper on analysis of commercial, free, and open source lp solvers for a certain problem domain. lp_solve is one of five "popular and well-known free and open source solvers". However two of those are not free or allowed for commercial use, leaving lp_solve as one of three (glpk, lp_solve, clp).

https://stackoverflow.com/questions/502102/best-open-source-mixed-integer-optimization-solver : Question about what to try and some suggestions for lp_solve. — Preceding unsigned comment added by Ericjster (talk • contribs) 18:14, 17 June 2018 (UTC)[reply]