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Volumn 21, Issue 2, 2008, Pages 165-171

A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization

Author keywords

Conjugacy condition; Conjugate gradient method; Numerical comparisons; Sufficient descent condition; Unconstrained optimization

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONSTRAINED OPTIMIZATION; CONVERGENCE OF NUMERICAL METHODS; PROBLEM SOLVING;

EID: 36549027868     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aml.2007.05.002     Document Type: Article
Times cited : (41)

References (12)
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    • Dai, Y.H.1
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    • A family of hybrid conjugate gradient methods for unconstrained optimization
    • Dai Y.H. A family of hybrid conjugate gradient methods for unconstrained optimization. Math. Comp. 72 (2003) 1317-1328
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    • Dai, Y.H.1
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    • 0033266804 scopus 로고    scopus 로고
    • A nonlinear conjugate gradient method with a strong global convergence property
    • Dai Y.H., and Yuan Y. A nonlinear conjugate gradient method with a strong global convergence property. SIAM J. Optimization 10 (1999) 177-182
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    • Dai, Y.H.1    Yuan, Y.2
  • 8
    • 0035730017 scopus 로고    scopus 로고
    • An efficient hybrid conjugate gradient method for unconstrained optimization
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    • A class of globally convergent conjugate gradient methods
    • Dai Y.H., and Yuan Y. A class of globally convergent conjugate gradient methods. Sci. China Ser. A 46 (2003) 251-262
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    • Benchmarking optimization software with performance profiles
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.