Dear All, I am leading the development of HiGHS, which is now the top performing open source linear optimization software on the industry standard benchmarks. In particular, our MIP solver out-performs SCIP, and is way ahead of the COIN-OR solver Cbc.
HiGHS solves LPs via simplex or interior point, MIPs via branch-and-cut, and QPs via an active set method. We were wondering what interest there would be in developing an R interface to HiGHS. I'm not an R user, but have done a bit of searching and see references to Rsymphony and an interface to Lpsolve. Performance-wise Lpsolve is very poor, but I know that it has a community of devoted followers. I've not seen benchmark results for Symphony, but I know that Cbc is the preferred COIN-OR MIP solver when it comes to general performance. And, as I observed, the performance of HiGHS is way better than Cbc. Are people in the R community tearing their hair out over the performance of software requiring the solution of LPs or MIPs? Would a significantly better LP/MIP solver be valuable to the R community? Thanks, Julian -- Dr. J. A. Julian Hall, Reader, School of Mathematics, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, EDINBURGH, EH9 3FD, UK. Room: 5418 Phone: [+44](131) 650 5075 Email: j.a.j.h...@ed.ac.uk<mailto:j.a.j.h...@ed.ac.uk> Web: https://www.maths.ed.ac.uk/school-of-mathematics/people/a-z?person=47 [HiGHS]<http://www.highs.dev> My working hours may not be your working hours. Do not feel pressure to reply to this email outside your working hours. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336. [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
