On optimality conditions for nonlinear conic programming (2022)
- Authors:
- USP affiliated authors: HAESER, GABRIEL - IME ; MITO, LEONARDO MAKOTO - IME
- Unidade: IME
- DOI: 10.1287/moor.2021.1203
- Subjects: PESQUISA OPERACIONAL; PROGRAMAÇÃO MATEMÁTICA; PROGRAMAÇÃO NÃO LINEAR
- Keywords: nonlinear conic optimization; optimality conditions; numerical methods; global convergence; constraint qualifications
- Language: Inglês
- Imprenta:
- Publisher place: Providence
- Date published: 2022
- Source:
- Título: Mathematics of Operations Research
- ISSN: 0364-765X
- Volume/Número/Paginação/Ano: v. 47, n. 3, p. 2160-2185, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ANDREANI, Roberto et al. On optimality conditions for nonlinear conic programming. Mathematics of Operations Research, v. 47, n. 3, p. 2160-2185, 2022Tradução . . Disponível em: https://doi.org/10.1287/moor.2021.1203. Acesso em: 09 fev. 2026. -
APA
Andreani, R., Gómez, W., Haeser, G., Mito, L., & Ramos, A. (2022). On optimality conditions for nonlinear conic programming. Mathematics of Operations Research, 47( 3), 2160-2185. doi:10.1287/moor.2021.1203 -
NLM
Andreani R, Gómez W, Haeser G, Mito L, Ramos A. On optimality conditions for nonlinear conic programming [Internet]. Mathematics of Operations Research. 2022 ; 47( 3): 2160-2185.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1287/moor.2021.1203 -
Vancouver
Andreani R, Gómez W, Haeser G, Mito L, Ramos A. On optimality conditions for nonlinear conic programming [Internet]. Mathematics of Operations Research. 2022 ; 47( 3): 2160-2185.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1287/moor.2021.1203 - On the weak second-order optimality condition for nonlinear semidefinite and second-order cone programming
- Weak notions of nondegeneracy in nonlinear semidefinite programming
- Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming
- Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications
- On the best achievable quality of limit points of augmented Lagrangian schemes
- 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
- Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming
- Exploiting cone approximations in an augmented Lagrangian method for conic optimization
- An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem
Informações sobre o DOI: 10.1287/moor.2021.1203 (Fonte: oaDOI API)
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