Augmented Lagrangian methods under the constant positive linear dependence constraint qualification (2004)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- Assunto: PROGRAMAÇÃO NÃO LINEAR
- Language: Inglês
- Imprenta:
- Publisher: IMECC-UNICAMP
- Publisher place: Campinas
- Date published: 2004
-
ABNT
ANDREANI, Roberto et al. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. . Campinas: IMECC-UNICAMP. . Acesso em: 21 maio 2024. , 2004 -
APA
Andreani, R., Birgin, E. J. G., Martínez, J. M., & Schuverdt, M. L. (2004). Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Campinas: IMECC-UNICAMP. -
NLM
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. 2004 ;[citado 2024 maio 21 ] -
Vancouver
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. 2004 ;[citado 2024 maio 21 ] - 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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