Enhancing Sharp Augmented Lagrangian Methods with Smoothing Techniques for Nonlinear Programming
Romero, José Luis ; Fernández, Damián ; Torres, Germán Ariel
- Link zu diesem Datensatz
- https://d-nb.info/138300871X
- Titel
- Enhancing Sharp Augmented Lagrangian Methods with Smoothing Techniques for Nonlinear Programming
- Art des Inhalts
- Teil eines Werks
- Verfassangaben
- by José Luis Romero, Damián Fernández, Germán Ariel Torres
- Autor(en)
-
- Romero, José Luis
- Fernández, Damián
- Torres, Germán Ariel
- Organisation(en)
-
- SpringerLink (Online service)
- Zeitliche Einordnung
- Erscheinungsdatum: 2025
- Umfang/Format
- 1 Online-Ressource.
- DOI
- 10.1007/s10957-025-02847-6
- Online
- https://doi.org/10.1007/s10957-025-02847-6
- Sprache
- eng
- Schlagwörter
-
- (lcsh)Mathematical optimization.
- (lcsh)Calculus of variations.
- (lcsh)Computer science.
- (lcsh)Mathematics.
- (lcsh)Engineering.
- (lcsh)Operations research.
- Calculus of Variations and Optimization.
- Optimization.
- Theory of Computation.
- Applications of Mathematics.
- Technology and Engineering.
- Operations Research and Decision Theory.
- Frühere/spätere Titel
-
- Enthalten in: Journal of optimization theory and applications
- Enthalten in: Journal of optimization theory and applications
- Enthalten in: Journal of optimization theory and applications
- Stand
- 30.11.2025 04:03
- Im Katalog seit
- 07.03.2026