Quadratic regularization with cubic descent for unconstrained optimization (2017)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- Assunto: OTIMIZAÇÃO COMBINATÓRIA
- Language: Inglês
- Imprenta:
- Source:
- Título: Abstracts
- Conference titles: EUROPT Workshop on Advances in Continuous Optimization
-
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, José Mario. Quadratic regularization with cubic descent for unconstrained optimization. 2017, Anais.. Montréal: GERAD, 2017. Disponível em: https://symposia.gerad.ca/europt2017/en/schedule?slot_id=1177. Acesso em: 18 out. 2024. -
APA
Birgin, E. J. G., & Martinez, J. M. (2017). Quadratic regularization with cubic descent for unconstrained optimization. In Abstracts. Montréal: GERAD. Recuperado de https://symposia.gerad.ca/europt2017/en/schedule?slot_id=1177 -
NLM
Birgin EJG, Martinez JM. Quadratic regularization with cubic descent for unconstrained optimization [Internet]. Abstracts. 2017 ;[citado 2024 out. 18 ] Available from: https://symposia.gerad.ca/europt2017/en/schedule?slot_id=1177 -
Vancouver
Birgin EJG, Martinez JM. Quadratic regularization with cubic descent for unconstrained optimization [Internet]. Abstracts. 2017 ;[citado 2024 out. 18 ] Available from: https://symposia.gerad.ca/europt2017/en/schedule?slot_id=1177 - 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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