Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available (2015)
- Authors:
- Autor USP: HAESER, GABRIEL - IME
- Unidade: IME
- DOI: 10.1016/j.orl.2015.06.009
- Subjects: ALGORITMOS; ALGORITMOS GENÉTICOS; OTIMIZAÇÃO MATEMÁTICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Operations Research Letters
- ISSN: 1872-7468
- Volume/Número/Paginação/Ano: v. 43, n. 5, p. 484–488, Sept. 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HAESER, Gabriel e MELO, Vinicius Veloso de. Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available. Operations Research Letters, v. 43, n. 5, p. 484–488, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.orl.2015.06.009. Acesso em: 24 abr. 2024. -
APA
Haeser, G., & Melo, V. V. de. (2015). Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available. Operations Research Letters, 43( 5), 484–488. doi:10.1016/j.orl.2015.06.009 -
NLM
Haeser G, Melo VV de. Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available [Internet]. Operations Research Letters. 2015 ; 43( 5): 484–488.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.orl.2015.06.009 -
Vancouver
Haeser G, Melo VV de. Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available [Internet]. Operations Research Letters. 2015 ; 43( 5): 484–488.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.orl.2015.06.009 - 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
- A note on linearly dependent symmetric matrices
- On the constrained error bound condition and the projected Levenberg–Marquardt method
- On second-order optimality conditions in nonlinear optimization
- On fuzzy uncertainties on the logistic equation
- A second-order optimality condition with first and second-order complementarity associated to global convergence of algorithms
- On a conjecture in second-order optimality conditions
Informações sobre o DOI: 10.1016/j.orl.2015.06.009 (Fonte: oaDOI API)
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