Nonlinear Optimization / Francisco J. Aragón … [et al.]]

• Pubblicazione: Cham, : Springer, 2019
• Titolo uniforme: Nonlinear Optimization
• Descrizione fisica: xiv, 350 p. : ill. ; 24 cm
• Soggetto topico: 47N10 - Applications of operator theory in optimization, convex analysis, mathematical programming, economics [MSC 2020]; 65Kxx - Numerical methods for mathematical programming, optimization and variational techniques [MSC 2020]; 97Uxx - Educational material and media and educational technology in mathematics education [MSC 2020]
• Soggetto non controllato: Coercivity; Constrained optimization; Convexity; Derivative-free optimization methods; Fermat-Steiner problem; Geometric optimization; Gradient methods; Jensen's inequalities; Lagrange duality; Line search methods; Linear regression; Nelder and Mead method; Optimization algorithms; Optimization problems; Polynomial regression; Quadratic optimization; Quasi-Newton Methods; Unconstrained Optimization; Wolfe duality
• Persona (resp. second.): Aragón, Francisco J.
• Titolo autorizzato: Nonlinear optimization
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0127075
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-11184-7
• Serie: Springer undergraduate texts in mathematics and technology Berlin [etc.] . -Springer