A second-order sequential optimality condition associated to the convergence of optimization algorithms (2017)
- Authors:
- Autor USP: HAESER, GABRIEL - IME
- Unidade: IME
- DOI: 10.1093/imanum/drw064
- Subjects: ANÁLISE NUMÉRICA; PROGRAMAÇÃO NÃO LINEAR
- Keywords: nonlinear programming; constraint qualifications; algorithmic convergence
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: IMA Journal of Numerical Analysis
- ISSN: 0272-4979
- Volume/Número/Paginação/Ano: v. 37, n. 4, p. 1902-1929, 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ANDREANI, Roberto et al. A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, v. 37, n. 4, p. 1902-1929, 2017Tradução . . Disponível em: https://doi.org/10.1093/imanum/drw064. Acesso em: 30 set. 2024. -
APA
Andreani, R., Silva, P. J. S., Haeser, G., & Ramos, A. (2017). A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, 37( 4), 1902-1929. doi:10.1093/imanum/drw064 -
NLM
Andreani R, Silva PJS, Haeser G, Ramos A. A second-order sequential optimality condition associated to the convergence of optimization algorithms [Internet]. IMA Journal of Numerical Analysis. 2017 ; 37( 4): 1902-1929.[citado 2024 set. 30 ] Available from: https://doi.org/10.1093/imanum/drw064 -
Vancouver
Andreani R, Silva PJS, Haeser G, Ramos A. A second-order sequential optimality condition associated to the convergence of optimization algorithms [Internet]. IMA Journal of Numerical Analysis. 2017 ; 37( 4): 1902-1929.[citado 2024 set. 30 ] Available from: https://doi.org/10.1093/imanum/drw064 - Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds
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- Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary
- A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms
- Optimality conditions and global convergence for nonlinear semidefinite programming
- On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods
- On the constrained error bound condition and the projected Levenberg–Marquardt method
- On second-order optimality conditions in nonlinear optimization
- Towards an efficient augmented Lagrangian method for convex quadratic programming
- On a conjecture in second-order optimality conditions
Informações sobre o DOI: 10.1093/imanum/drw064 (Fonte: oaDOI API)
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