An extension of Yuan’s Lemma and its applications in optimization (2018)
- Autor:
- Autor USP: HAESER, GABRIEL - IME
- Unidade: IME
- Assunto: OTIMIZAÇÃO MATEMÁTICA
- Language: Inglês
- Imprenta:
- Publisher: Mathematical Optimization Society
- Publisher place: Philadelphia
- Date published: 2018
- Source:
- Título do periódico: Book of abstracts
- Conference titles: International Symposium on Mathematical Programming - ISMP
-
ABNT
HAESER, Gabriel. An extension of Yuan’s Lemma and its applications in optimization. 2018, Anais.. Philadelphia: Mathematical Optimization Society, 2018. Disponível em: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf. Acesso em: 29 set. 2024. -
APA
Haeser, G. (2018). An extension of Yuan’s Lemma and its applications in optimization. In Book of abstracts. Philadelphia: Mathematical Optimization Society. Recuperado de https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf -
NLM
Haeser G. An extension of Yuan’s Lemma and its applications in optimization [Internet]. Book of abstracts. 2018 ;[citado 2024 set. 29 ] Available from: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf -
Vancouver
Haeser G. An extension of Yuan’s Lemma and its applications in optimization [Internet]. Book of abstracts. 2018 ;[citado 2024 set. 29 ] Available from: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf - Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds
- A note on linearly dependent symmetric matrices
- 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
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2926031.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas