A SQP based on an interior-point strategy for nonlinear inequality constrained optimization problems
This paper describes a sequential quadratic programming (SQP) algorithm for solving nonlinear inequality constrained optimization problems. The QP subproblems are solved by a primal-dual interior-point method that uses a variant of the Mehrotra's predictor-corrector algorithm. Preliminary numer...
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| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2005
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| Texto completo: | http://hdl.handle.net/1822/5500 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/5500 |