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Volumn 39, Issue 10, 2005, Pages

Improved large-scale reduced SQP algorithm for process optimization

Author keywords

Integrated line search of filter method; Reduced SQP; Selection of basis; Space decomposition

Indexed keywords

FUNCTION EVALUATION; ITERATIVE METHODS; NONLINEAR FILTERING; NUMERICAL METHODS; OPTIMIZATION;

EID: 30944464279     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (13)
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  • 6
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  • 9
    • 0003717395 scopus 로고    scopus 로고
    • Global and local convergence of line search filter methods for nonlinear programming
    • Pittsburgh, PA, USA: Department of Chemical Engineering, Carnegie Mellon University
    • WACHTER A, BIEGLER L T. Global and local convergence of line search filter methods for nonlinear programming[R]. Pittsburgh, PA, USA: Department of Chemical Engineering, Carnegie Mellon University, 2001.
    • (2001)
    • Wachter, A.1    Biegler, L.T.2
  • 10
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    • Interior-point methods for non-convex nonlinear programming: Filter methods and merit function
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.