Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and highorder models (2016)
- Autor:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- Subjects: COMPUTABILIDADE E COMPLEXIDADE; OTIMIZAÇÃO NÃO LINEAR
- Language: Inglês
- Imprenta:
- Publisher: IMPA
- Publisher place: Rio de Janeiro
- Date published: 2016
- Source:
- Título: Posters
- Conference titles: Brazilian Workshop on Continuous Optimization
-
ABNT
BIRGIN, Ernesto Julian Goldberg. Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and highorder models. 2016, Anais.. Rio de Janeiro: IMPA, 2016. Disponível em: https://impa.br/wp-content/uploads/2016/12/ernesto_birgin.pdf. Acesso em: 03 dez. 2025. -
APA
Birgin, E. J. G. (2016). Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and highorder models. In Posters. Rio de Janeiro: IMPA. Recuperado de https://impa.br/wp-content/uploads/2016/12/ernesto_birgin.pdf -
NLM
Birgin EJG. Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and highorder models [Internet]. Posters. 2016 ;[citado 2025 dez. 03 ] Available from: https://impa.br/wp-content/uploads/2016/12/ernesto_birgin.pdf -
Vancouver
Birgin EJG. Evaluation complexity for nonlinear constrained optimization using unscaled kkt conditions and highorder models [Internet]. Posters. 2016 ;[citado 2025 dez. 03 ] Available from: https://impa.br/wp-content/uploads/2016/12/ernesto_birgin.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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