Numerical studies on continuous approximations of a cone in an augmented Lagrangian method for nonlinear conic optimization (2024)
- Authors:
- Autor USP: HAESER, GABRIEL - IME
- Unidade: IME
- Subjects: OTIMIZAÇÃO NÃO LINEAR; OTIMIZAÇÃO RESTRITA
- Language: Inglês
- Imprenta:
- Publisher: FGV/EMAp
- Publisher place: Rio de Janeiro
- Date published: 2024
- Source:
- Título: Notebook of abstracts
- Conference titles: Brazilian Workshop on Continuous Optimization - BrazOpt
-
ABNT
FUKUDA, Mituhiro et al. Numerical studies on continuous approximations of a cone in an augmented Lagrangian method for nonlinear conic optimization. 2024, Anais.. Rio de Janeiro: FGV/EMAp, 2024. Disponível em: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf. Acesso em: 12 jan. 2026. -
APA
Fukuda, M., Gómez, W., Haeser, G., & Mito, L. M. (2024). Numerical studies on continuous approximations of a cone in an augmented Lagrangian method for nonlinear conic optimization. In Notebook of abstracts. Rio de Janeiro: FGV/EMAp. Recuperado de https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf -
NLM
Fukuda M, Gómez W, Haeser G, Mito LM. Numerical studies on continuous approximations of a cone in an augmented Lagrangian method for nonlinear conic optimization [Internet]. Notebook of abstracts. 2024 ;[citado 2026 jan. 12 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf -
Vancouver
Fukuda M, Gómez W, Haeser G, Mito LM. Numerical studies on continuous approximations of a cone in an augmented Lagrangian method for nonlinear conic optimization [Internet]. Notebook of abstracts. 2024 ;[citado 2026 jan. 12 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf - Primal-dual relationship between Levenberg–Marquardt and central trajectories for linearly constrained convex optimization
- Condições de otimalidade e algoritmos em otimização não linear
- Condições de qualificação, otimalidade e um método tipo lagrangiano aumentado
- A second-order sequential optimality condition associated to the convergence of optimization algorithms
- A Jacobi-type Newton method for Nash equilibrium problems with descent guarantees
- Two new optimality conditions for nonlinear symmetric cone programming
- A 4-steps elementary proof of existence of Lagrange multipliers
- Optimality conditions for nonlinear second-order cone programming and symmetric cone programming
- On a conjecture in second-order optimality conditions
- Towards an efficient augmented Lagrangian method for convex quadratic programming
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