Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems (2025)
- Authors:
- USP affiliated authors: BIRGIN, ERNESTO JULIAN GOLDBERG - IME ; HAESER, GABRIEL - IME
- Unidade: IME
- Subjects: OTIMIZAÇÃO NÃO LINEAR; CONVERGÊNCIA
- Keywords: Nonlinear optimization; Penalty methods; Experimentos numéricos
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Universidade Federal do Rio de Janeiro - UFRJ
- Publisher place: Rio de Janeiro
- Date published: 2025
-
ABNT
BIRGIN, Ernesto Julian Goldberg et al. Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems. . Rio de Janeiro: Universidade Federal do Rio de Janeiro - UFRJ. Disponível em: https://www.cos.ufrj.br/uploadfile/publicacao/3194.pdf. Acesso em: 28 dez. 2025. , 2025 -
APA
Birgin, E. J. G., Ferreira, O. P., Haeser, G., Maculan, N., Ramirez, L. M., & Prudente, L. da F. (2025). Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems. Rio de Janeiro: Universidade Federal do Rio de Janeiro - UFRJ. Recuperado de https://www.cos.ufrj.br/uploadfile/publicacao/3194.pdf -
NLM
Birgin EJG, Ferreira OP, Haeser G, Maculan N, Ramirez LM, Prudente L da F. Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems [Internet]. 2025 ;[citado 2025 dez. 28 ] Available from: https://www.cos.ufrj.br/uploadfile/publicacao/3194.pdf -
Vancouver
Birgin EJG, Ferreira OP, Haeser G, Maculan N, Ramirez LM, Prudente L da F. Smoothing ℓ1-exact penalty method for intrinsically constrained Riemannian optimization problems [Internet]. 2025 ;[citado 2025 dez. 28 ] Available from: https://www.cos.ufrj.br/uploadfile/publicacao/3194.pdf - Augmented Lagrangian for nonlinear SDPs applied to the covering problem
- Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems
- Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points
- On the global convergence of a general class of augmented Lagrangian methods
- An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem
- On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods
- Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds
- A note on linearly dependent symmetric matrices
- Optimality conditions and global convergence for nonlinear semidefinite programming
- A relaxed quasinormality condition and the boundedness of dual augmented lagrangian sequences
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