Augmented Lagrangian for nonlinear SDPs applied to the covering problem (2018)
- Authors:
- USP affiliated authors: HAESER, GABRIEL - IME ; BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- Subjects: PROGRAMAÇÃO MATEMÁTICA; PROGRAMAÇÃO NÃO LINEAR
- 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
MITO, Leonardo et al. Augmented Lagrangian for nonlinear SDPs applied to the covering problem. 2018, Anais.. Philadelphia: Mathematical Optimization Society, 2018. Disponível em: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf. Acesso em: 01 maio 2024. -
APA
Mito, L., Haeser, G., Birgin, E. J. G., Viana, D., & Bofill, W. (2018). Augmented Lagrangian for nonlinear SDPs applied to the covering problem. In Book of abstracts. Philadelphia: Mathematical Optimization Society. Recuperado de https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf -
NLM
Mito L, Haeser G, Birgin EJG, Viana D, Bofill W. Augmented Lagrangian for nonlinear SDPs applied to the covering problem [Internet]. Book of abstracts. 2018 ;[citado 2024 maio 01 ] Available from: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf -
Vancouver
Mito L, Haeser G, Birgin EJG, Viana D, Bofill W. Augmented Lagrangian for nonlinear SDPs applied to the covering problem [Internet]. Book of abstracts. 2018 ;[citado 2024 maio 01 ] Available from: https://ismp2018.sciencesconf.org/data/bookFullProgram.pdf - Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points
- Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems
- An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem
- Optimization of the first Dirichlet laplacian eigenvalue with respect to a union of balls
- Optimality conditions and global convergence for nonlinear semidefinite programming
- A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms
- Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary
- On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods
- A note on linearly dependent symmetric matrices
- A flexible inexact-restoration method for constrained optimization
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