期刊论文详细信息
| Pesquisa Operacional | |
| STABILIZED SEQUENTIAL QUADRATIC PROGRAMMING: A SURVEY | |
| Damián Fernández1  Mikhail Solodov1  | |
| 关键词: Newton method; (stabilized) sequential quadratic programming; constrained optimization; variational problem; second-order sufficiency; (non)critical Lagrange multipliers; | |
| DOI : 10.1590/0101-7438.2014.034.03.0463 | |
| 来源: SciELO | |
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【 摘 要 】
We review the motivation for, the current state-of-the-art in convergence results, and some open questions concerning the stabilized version of the sequential quadratic programming algorithm for constrained optimization. We also discuss the tools required for its local convergence analysis, globalization challenges, and extentions of the method to the more general variational problems.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202103040084133ZK.pdf | 182KB |
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