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Volumn 27, Issue 1, 2004, Pages 23-29

Updating the Self-Scaling Symmetric Rank One Algorithm with Limited Memory for Large-Scale Unconstrained Optimization

Author keywords

Large scale; Limited memory; Quasi Newton; Unconstrained optimization

Indexed keywords

FUNCTIONS; MATRIX ALGEBRA; NONLINEAR PROGRAMMING; PROBLEM SOLVING; SET THEORY;

EID: 0942266559     PISSN: 09266003     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:COAP.0000004977.04103.fb     Document Type: Article
Times cited : (12)

References (13)
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    • Liu, D.C.1    Nocedal, J.2
  • 4
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    • BFGS with update skipping and varying memory
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  • 6
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  • 7
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    • Osborne, M.R.1    Sun, L.P.2
  • 9
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    • Sequential and parallel methods for unconstrained optimization
    • Mathematical Programming Recent Developments and Applications, M. Iri and K. Tanabe (Eds.), Kluwer Academic Publishers
    • R.B. Schnabel, "Sequential and parallel methods for unconstrained optimization," in Mathematical Programming Recent Developments and Applications, M. Iri and K. Tanabe (Eds.), Kluwer Academic Publishers, The 13th International Symposium on Mathematical Programming, 1989, pp. 227-262.
    • (1989) The 13th International Symposium on Mathematical Programming , pp. 227-262
    • Schnabel, R.B.1
  • 10
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  • 12
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.