Abstract

This software package is a Matlab implementation of infeasible path-following algorithms for solving standard semidefinite programs (SDP). Mehrotra-type predictor-corrector variants are included. Analogous algorithms for the homogeneous formulation of the standard SDP are also implemented. Four types of search directions are available, namely, the AHO, HKM, NT and GT directions. A few classes of SDP problems are also included. Numerical results for these classes show that our algorithms are fairly efficient and robust on problems with dimensions of the order of a hundred.

Keywords

Semidefinite programmingComputer scienceSoftwareMATLABSoftware packageSemidefinite embeddingProgramming languageMathematical optimizationMathematicsQuadratically constrained quadratic programQuadratic programming

Related Publications

Handbook of Genetic Algorithms

This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems. The first objective is tackled by the editor, Lawrence Davis. Th...

1991 7308 citations

Algorithm 862

Tensors (also known as multidimensional arrays or N -way arrays) are used in a variety of applications ranging from chemometrics to psychometrics. We describe four MATLAB classe...

2006 ACM Transactions on Mathematical Soft... 448 citations

Publication Info

Year
1996
Type
article
Citations
647
Access
Closed

External Links

Citation Metrics

647
OpenAlex

Cite This

Kim-Chuan Toh, Michael J. Todd, Reha Tütüncü (1996). SDPT3 -- A Matlab Software Package for Semidefinite Programming. eCommons (Cornell University) .