SDPLIB 1.2, a library of semidefinite programming test problems
- 1 January 1999
- journal article
- research article
- Published by Taylor & Francis in Optimization Methods and Software
- Vol. 11 (1-4) , 683-690
- https://doi.org/10.1080/10556789908805769
Abstract
SDPLIB is a collection of semidefinite programming (SDP) test problems. The problems are drawn from a variety of applications, including truss topology design, control systems engineering, and relaxations of combinatorial optimization problems. The current version of the library contains a total of 92 SDP problems encoded in a standard format. It is hoped that SDPLIB will stimulate the development of improved software for the solution of SDP problems.Keywords
This publication has 10 references indexed in Scilit:
- Numerical Evaluation of SDPA (Semidefinite Programming Algorithm)Published by Springer Nature ,2000
- Solving Large-Scale Sparse Semidefinite Programs for Combinatorial OptimizationSIAM Journal on Optimization, 2000
- CSDP, A C library for semidefinite programmingOptimization Methods and Software, 1999
- Sdpha: a Matlab implementation of homogeneous interior-point algorithms for semidefinite programmingOptimization Methods and Software, 1999
- Robust Truss Topology Design via Semidefinite ProgrammingSIAM Journal on Optimization, 1997
- Exploiting sparsity in primal-dual interior-point methods for semidefinite programmingMathematical Programming, 1997
- Semidefinite ProgrammingSIAM Review, 1996
- CUTEACM Transactions on Mathematical Software, 1995
- Interior Point Methods in Semidefinite Programming with Applications to Combinatorial OptimizationSIAM Journal on Optimization, 1995
- A natural generator of optimum topology of plane trusses for specified fundamental frequencyComputer Methods in Applied Mechanics and Engineering, 1992