AdamRahman/sdpt3r: Semi-Definite Quadratic Linear Programming Solver

Solves the general Semi-Definite Linear Programming formulation using an R implementation of SDPT3 (K.C. Toh, M.J. Todd, and R.H. Tutuncu (1999) <doi:10.1080/10556789908805762>). This includes problems such as the nearest correlation matrix problem (Higham (2002) <doi:10.1093/imanum/22.3.329>), D-optimal experimental design (Smith (1918) <doi:10.2307/2331929>), Distance Weighted Discrimination (Marron and Todd (2012) <doi:10.1198/016214507000001120>), as well as graph theory problems including the maximum cut problem. Technical details surrounding SDPT3 can be found in R.H Tutuncu, K.C. Toh, and M.J. Todd (2003) <doi:10.1007/s10107-002-0347-5>.

Getting started

Package details

AuthorKim-Chuan Toh (Matlab/C), Micheal Todd (Matlab/C), Reha Tutunco (Matlab/C), Adam Rahman (R/C Headers), Timothy A. Davis (symamd C code), Stefan I. Larimore (symamd C code)
MaintainerAdam Rahman <a45rahma@uwaterloo.ca>
LicenseGPL-2 | GPL-3
Version0.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AdamRahman/sdpt3r")
AdamRahman/sdpt3r documentation built on Aug. 3, 2020, 12:02 a.m.