Block coordinate descent for smooth nonconvex constrained minimization (2023)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- Subjects: PROGRAMAÇÃO NÃO LINEAR; MÉTODOS NUMÉRICOS; PROGRAMAÇÃO MATEMÁTICA
- Language: Português
- Imprenta:
- Publisher: SIAM
- Publisher place: Philadelphia
- Date published: 2023
- Source:
- Título do periódico: Abstracts
- Conference titles: Conference on Optimization - OP23
-
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Block coordinate descent for smooth nonconvex constrained minimization. 2023, Anais.. Philadelphia: SIAM, 2023. Disponível em: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf. Acesso em: 05 jun. 2024. -
APA
Birgin, E. J. G., & Martínez, J. M. (2023). Block coordinate descent for smooth nonconvex constrained minimization. In Abstracts. Philadelphia: SIAM. Recuperado de https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf -
NLM
Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Abstracts. 2023 ;[citado 2024 jun. 05 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf -
Vancouver
Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Abstracts. 2023 ;[citado 2024 jun. 05 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf - Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]
- Low order-value approach for solving VaR-constrained optimization problems
- Large-scale active-set box-constrained optimization method with spectral projected gradients
- A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients
- Spectral projected gradient methods: review and perspectives
- Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming
- Foreword special issue dedicated to selected surveys in nonlinear programming. [Apresentação]
- Assessing the reliability of general-purpose Inexact Restoration methods
- Packing circles within ellipses
- Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations
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