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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>.

Version: 0.3
Depends: Matrix, R (≥ 2.10)
Imports: methods, stats
Published: 2019-02-11
Author: Kim-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)
Maintainer: Adam Rahman <a45rahma at uwaterloo.ca>
License: GPL-2 | GPL-3
NeedsCompilation: yes
In views: Optimization
CRAN checks: sdpt3r results

Documentation:

Reference manual: sdpt3r.pdf
Vignettes: doptimal
dwd
etp
gpp
lmi
logcheby
lovasz
maxcut
maxkcut
minelips
nearcorr
toeplitz

Downloads:

Package source: sdpt3r_0.3.tar.gz
Windows binaries: r-devel: sdpt3r_0.3.zip, r-release: sdpt3r_0.3.zip, r-oldrel: sdpt3r_0.3.zip
macOS binaries: r-release (arm64): sdpt3r_0.3.tgz, r-oldrel (arm64): sdpt3r_0.3.tgz, r-release (x86_64): sdpt3r_0.3.tgz, r-oldrel (x86_64): sdpt3r_0.3.tgz
Old sources: sdpt3r archive

Reverse dependencies:

Reverse imports: edmcr, PlaneGeometry

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sdpt3r to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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