A sequential quadratic programming algorithm without a penalty function, a filter or a constraint qualification for inequality constrained optimization

Autor:	Daolan Han, Qingjie Hu, Jinbao Jian, Chun-Ming Tang
Rok vydání:	2020
Předmět:	Inequality constrained optimization Mathematical optimization 021103 operations research Control and Optimization Line search Applied Mathematics MathematicsofComputing_NUMERICALANALYSIS 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Filter (higher-order function) 01 natural sciences Nonlinear programming 010101 applied mathematics Constraint (information theory) Sequential quadratic programming algorithm Computer Science::Programming Languages Penalty method 0101 mathematics Mathematics Sequential quadratic programming
Zdroj:	Optimization. 71:1603-1635
ISSN:	1029-4945 0233-1934
DOI:	10.1080/02331934.2020.1827406
Popis:	This paper discusses a kind of nonlinear inequality constrained optimization problems without any constraint qualification. A new sequential quadratic programming algorithm for such problems is pro...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e35315c055359f75f2da265a9215de0e https://doi.org/10.1080/02331934.2020.1827406 Zobrazit plný text záznamu