Weak notions of nondegeneracy in nonlinear semidefinite programming (2024)
- Authors:
- USP affiliated authors: HAESER, GABRIEL - IME ; MITO, LEONARDO MAKOTO - IME
- Unidade: IME
- DOI: 10.1007/s10107-023-01970-4
- Subjects: PESQUISA OPERACIONAL; PROGRAMAÇÃO NÃO LINEAR
- Keywords: Semidefinite programming; Constraint qualifications; Constraint nondegeneracy
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2024
- Source:
- Título: Mathematical Programming
- ISSN: 0025-5610
- Volume/Número/Paginação/Ano: v. 205, n. 1-2, p. 1-32, 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
ANDREANI, Roberto et al. Weak notions of nondegeneracy in nonlinear semidefinite programming. Mathematical Programming, v. 205, n. 1-2, p. 1-32, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10107-023-01970-4. Acesso em: 26 dez. 2025. -
APA
Andreani, R., Haeser, G., Mito, L. M., & Ramírez, H. (2024). Weak notions of nondegeneracy in nonlinear semidefinite programming. Mathematical Programming, 205( 1-2), 1-32. doi:10.1007/s10107-023-01970-4 -
NLM
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Mathematical Programming. 2024 ; 205( 1-2): 1-32.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s10107-023-01970-4 -
Vancouver
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Mathematical Programming. 2024 ; 205( 1-2): 1-32.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s10107-023-01970-4 - On the best achievable quality of limit points of augmented Lagrangian schemes
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- On optimality conditions for nonlinear conic programming
- On the weak second-order optimality condition for nonlinear semidefinite and second-order cone programming
- A minimal face constant rank constraint qualification for reducible conic programming
- First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition
- Exploiting cone approximations in an augmented Lagrangian method for conic optimization
- An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem
- Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming
Informações sobre o DOI: 10.1007/s10107-023-01970-4 (Fonte: oaDOI API)
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