The R Journal: article published in 2018, volume 10:2

sdpt3r: Semidefinite Quadratic Linear Programming in R
Adam Rahman , The R Journal (2018) 10:2, pages 371-394.

Abstract We present the package sdpt3r, an R implementation of the Matlab package SDPT3 (Toh et al., 1999). The purpose of the software is to solve semidefinite quadratic linear programming (SQLP) problems, which encompasses problems such as D-optimal experimental design, the nearest correlation matrix problem, and distance weighted discrimination, as well as problems in graph theory

Received: 2018-05-01; online 2018-12-08, supplementary material, (882 B)
CRAN packages: sdpt3r, Rdsdp, Rcsdp, cccp, scs, Rmosek, quantmod
CRAN Task Views implied by cited CRAN packages: Optimization, Finance

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-063,
  author = {Adam Rahman},
  title = {{sdpt3r: Semidefinite Quadratic Linear Programming in R}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-063},
  url = {https://doi.org/10.32614/RJ-2018-063},
  pages = {371--394},
  volume = {10},
  number = {2}
}