Abstract
This paper describes a software package, called LOQO, which implements a primal-dual interior-point method for general nonlinear programming. We focus in this paper mainly on the algorithm as it applies to linear and quadratic programming with only brief mention of the extensions to convex and general nonlinear programming, since a detailed paper describing these extensions was published recently elsewhere. In particular, we emphasize the importance of establishing and maintaining symmetric quasidefiniteness of the reduced KKT system. We show that the industry standard MPS format can be nicely formulated in such a way to provide quasidefiniteness. Computational results are included for a variety of linear and quadratic programming problems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 451-484 |
| Number of pages | 34 |
| Journal | Optimization Methods and Software |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1999 |
All Science Journal Classification (ASJC) codes
- Software
- Control and Optimization
- Applied Mathematics
Fingerprint
Dive into the research topics of 'LOQO: An interior point code for quadratic programming'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver