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Volumn 9, Issue 1, 1998, Pages 62-83

A finite continuation algorithm for bound constrained quadratic programming

Author keywords

Bound constrained quadratic programming; Huber's M estimator; Lagrangian duality; Linear 1 estimation; Robust regression

Indexed keywords


EID: 0032237465     PISSN: 10526234     EISSN: None     Source Type: Journal    
DOI: 10.1137/S1052623495297820     Document Type: Article
Times cited : (9)

References (16)
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    • C.-G. HAN, P. PARDALOS, AND Y. YE, Computational aspects of an interior point algorithm for quadratic programming problems with box constraints, in Large-Scale Numerical Optimization, T. F. Coleman and Y. Li, eds., SIAM, Philadelphia, PA, 1990, pp. 92-112.
    • (1990) Large-Scale Numerical Optimization , pp. 92-112
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  • 8
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  • 10
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    • 0030303852 scopus 로고    scopus 로고
    • A new finite continuation algorithm for linear programming
    • K. MADSEN, H. B. NIELSEN, AND M.Ç. PINAR, A new finite continuation algorithm for linear programming, SIAM J. Optim., 6 (1996), pp. 600-616.
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  • 12
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    • Algorithms for bound constrained quadratic programming problems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.