Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations (2013)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1021/ct3009683
- Subjects: QUÍMICA TEÓRICA; OTIMIZAÇÃO COMBINATÓRIA
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2013
- Source:
- Título do periódico: Journal of Chemical Theory and Computation
- ISSN: 1549-9618
- Volume/Número/Paginação/Ano: v. 9, n. 2, p. 1043-1051, 2013
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg et al. Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations. Journal of Chemical Theory and Computation, v. 9, n. 2, p. 1043-1051, 2013Tradução . . Disponível em: https://doi.org/10.1021/ct3009683. Acesso em: 23 abr. 2024. -
APA
Birgin, E. J. G., Martinez, J. M., Martínez, L., & Rocha, G. B. (2013). Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations. Journal of Chemical Theory and Computation, 9( 2), 1043-1051. doi:10.1021/ct3009683 -
NLM
Birgin EJG, Martinez JM, Martínez L, Rocha GB. Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations [Internet]. Journal of Chemical Theory and Computation. 2013 ; 9( 2): 1043-1051.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1021/ct3009683 -
Vancouver
Birgin EJG, Martinez JM, Martínez L, Rocha GB. Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations [Internet]. Journal of Chemical Theory and Computation. 2013 ; 9( 2): 1043-1051.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1021/ct3009683 - 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
- Low order-value approach for solving VaR-constrained optimization problems
Informações sobre o DOI: 10.1021/ct3009683 (Fonte: oaDOI API)
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