SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective and co...
Publications
2 shownInterior Methods for Nonlinear Optimization
Interior methods are an omnipresent, conspicuous feature of the constrained optimization landscape today, but it was not always so. Primarily in the form of barrier methods, int...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 3,416
- Institution
- University of California, San Diego
External Links
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.