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Volumn 9, Issue 2 SPEC., 2002, Pages 563-579

Proximal points are on the fast track

Author keywords

Convex minimization; Proximal points; Second order derivatives; VU decomposition

Indexed keywords


EID: 0037005249     PISSN: 09446532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (21)
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  • 5
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    • to appear
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  • 8
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    • Régularisation d'inéquations variationnelles par approximations successives
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    • Martinet, B.1
  • 9
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    • A quasi-second-order proximal bundle algorithm
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    • Mifflin, R.1
  • 10
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    • VU-decomposition derivatives for convex max-functions
    • Lecture Notes in Economics and Mathematical Systems, R. Tichatschke, M. Théra (eds.), Springer-Verlag, Berlin, Heidelberg
    • R. Mifflin, C. Sagastizábal: VU-decomposition derivatives for convex max-functions, in: Ill-posed Variational Problems and Regularization Techniques 477, Lecture Notes in Economics and Mathematical Systems, R. Tichatschke, M. Théra (eds.), Springer-Verlag, Berlin, Heidelberg (1999) 167-186.
    • (1999) Ill-Posed Variational Problems and Regularization Techniques , vol.477 , pp. 167-186
    • Mifflin, R.1    Sagastizábal, C.2
  • 11
    • 0002963707 scopus 로고    scopus 로고
    • Functions with primal-dual gradient structure and u-Hessians
    • G. Di Pillo, F. Giannessi (eds.), Kluwer Academic Publishers B.V.
    • R. Mifflin, C. Sagastizábal: Functions with primal-dual gradient structure and u-Hessians, in: Nonlinear Optimization and Related Topics, Applied Optimization 36, G. Di Pillo, F. Giannessi (eds.), Kluwer Academic Publishers B.V. (2000) 219-233.
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    • Mifflin, R.1    Sagastizábal, C.2
  • 12
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    • On VU-theory for functions with primal-dual gradient structure
    • R. Mifflin, C. Sagastizábal: On VU-theory for functions with primal-dual gradient structure, SIAM Journal on Optimization 11(2) (2000) 547-571.
    • (2000) SIAM Journal on Optimization , vol.11 , Issue.2 , pp. 547-571
    • Mifflin, R.1    Sagastizábal, C.2
  • 15
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    • The u-Lagrangian of the maximum eigenvalue function
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  • 16
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    • A second-order bundle method to minimize the maximum eigenvalue function
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.