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.
- Version0.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/11/2019
Documentation
Team
Adam Rahman
Kim-Chuan Toh
Show author detailsRolesAuthorTimothy A. Davis
Stefan I. Larimore
Show author detailsRolesAuthorMicheal Todd
Show author detailsRolesAuthorReha Tutunco
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 33 times in the last 30 days. A handful of downloads. Enough to fill a small classroom with curiosity! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
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Last 365 days
This package has been downloaded 2,785 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 71 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends1 package
- Reverse Imports2 packages