Some inexact hybrid proximal augmented Lagrangian algorithms (2002)
- Authors:
- USP affiliated authors: HUMES JUNIOR, CARLOS - IME ; SILVA, PAULO JOSÉ DA SILVA E - IME
- Unidade: IME
- Subjects: PROGRAMAÇÃO CONVEXA; OTIMIZAÇÃO RESTRITA
- Language: Inglês
- Imprenta:
-
ABNT
HUMES JÚNIOR, Carlos e SILVA, Paulo J. S. e SVAITER, Benar Fux. Some inexact hybrid proximal augmented Lagrangian algorithms. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/08fc800e-1e73-4e8e-a860-6b336ad2f5eb/1229766.pdf. Acesso em: 19 abr. 2024. , 2002 -
APA
Humes Júnior, C., Silva, P. J. S., & Svaiter, B. F. (2002). Some inexact hybrid proximal augmented Lagrangian algorithms. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/08fc800e-1e73-4e8e-a860-6b336ad2f5eb/1229766.pdf -
NLM
Humes Júnior C, Silva PJS, Svaiter BF. Some inexact hybrid proximal augmented Lagrangian algorithms [Internet]. 2002 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/08fc800e-1e73-4e8e-a860-6b336ad2f5eb/1229766.pdf -
Vancouver
Humes Júnior C, Silva PJS, Svaiter BF. Some inexact hybrid proximal augmented Lagrangian algorithms [Internet]. 2002 ;[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/08fc800e-1e73-4e8e-a860-6b336ad2f5eb/1229766.pdf - Uma nova classe de métodos de pontos proximais para programação matemática
- Rescaled proximal methods for linearly constrained convex problems
- Rescaling and stepsize selection in proximal methods using separable generalized distances
- Strict convex regularizations, proximal points and augmented Lagrangians
- Métodos de ponto proximal, separadores e langrangeanos
- Inexact proximal point algorithms and descent methods in optimization
- Exact penalties for variational inequalities with applications to nonlinear complementary problems
- A note on a existence of zeroes of convexly regularized sums of maximal monotone operators
- A practical relative error criterion for augmented Lagrangians
- A relaxed constant positive linear dependence constraint qualification and applications
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