Package: sdpt3r 0.3
Adam Rahman
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>.
Authors:
sdpt3r_0.3.tar.gz
sdpt3r_0.3.zip(r-4.5)sdpt3r_0.3.zip(r-4.4)sdpt3r_0.3.zip(r-4.3)
sdpt3r_0.3.tgz(r-4.4-x86_64)sdpt3r_0.3.tgz(r-4.4-arm64)sdpt3r_0.3.tgz(r-4.3-x86_64)sdpt3r_0.3.tgz(r-4.3-arm64)
sdpt3r_0.3.tar.gz(r-4.5-noble)sdpt3r_0.3.tar.gz(r-4.4-noble)
sdpt3r_0.3.tgz(r-4.4-emscripten)sdpt3r_0.3.tgz(r-4.3-emscripten)
sdpt3r.pdf |sdpt3r.html✨
sdpt3r/json (API)
# Install 'sdpt3r' in R: |
install.packages('sdpt3r', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
- Andwd - An Configuration Matrix for Distance Weighted Discrimination
- Apdwd - Ap Configuration Matrix for Distance Weighted Discrimination
- Betp - Symmetric Matrix for Educational Testing Problem
- Bgpp - Adjacency Matrix for Graph Partitioning Problem
- Blogcheby - B Matrix for the Log Chebyshev Approximation Problem
- Bmaxcut - Adjacency Matrix for Max-Cut
- Bmaxkcut - Adjacency Matrix for Max-kCut
- DoptDesign - Test Vector Matrix for D-Optimal Design
- Ftoep - Symmetric Matrix for the Toeplitz Approximatin Problem
- Glovasz - Adjacency Matrix on which to find the Lovasz Number
- Hnearcorr - Approximate Correlation Matrix for Nearest Correlation Matrix Problem
- Vminelips - Configuration Matrix for Minimum Ellipse Problem
- flogcheby - F vector for the Log Chebyshev Approximation Problem
Last updated 2 days agofrom:54d7656048 (on package/sdpt3r). Checks:OK: 7 ERROR: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-win-x86_64 | ERROR | Nov 25 2024 |
R-4.5-linux-x86_64 | ERROR | Nov 25 2024 |
R-4.4-win-x86_64 | OK | Nov 25 2024 |
R-4.4-mac-x86_64 | OK | Nov 25 2024 |
R-4.4-mac-aarch64 | OK | Nov 25 2024 |
R-4.3-win-x86_64 | OK | Nov 25 2024 |
R-4.3-mac-x86_64 | OK | Nov 25 2024 |
R-4.3-mac-aarch64 | OK | Nov 25 2024 |
Exports:control_theorydoptimaldwdetpgpplmi1lmi2lmi3logchebylovaszmaxcutmaxkcutminelipsnearcorrsmatsqlpsvectoep
doptimal
Rendered fromdoptimal.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
dwd
Rendered fromdwd.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
etp
Rendered frometp.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
gpp
Rendered fromgpp.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
lmi
Rendered fromlmi.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
logcheby
Rendered fromlogcheby.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
lovasz
Rendered fromlovasz.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
maxcut
Rendered frommaxcut.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
maxkcut
Rendered frommaxkcut.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
minelips
Rendered fromminelips.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
nearcorr
Rendered fromnearcorr.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25
toeplitz
Rendered fromtoeplitz.Rnw
usingutils::Sweave
on Nov 25 2024.Last update: 2024-11-25
Started: 2024-11-25