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The book presents a comprehensive framework for various numerical optimization methods through its "reduce-or-retreat" approach, which balances reducing the objective at trial points with retreating to closer alternatives. It aligns derivative-based methods, fostering the development of new techniques and theoretical insights. The author introduces generalizations for non-smooth objectives and examines convergence through a novel notion of stationarity. By exploring descent conditions and situational convergence, the text broadens traditional analyses and connects diverse minimization strategies.
Nákup knihy
Stationarity and Convergence in Reduce-or-Retreat Minimization, Adam B. Levy
- Jazyk
- Rok vydání
- 2012
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Doručení
Platební metody
Navrhnout úpravu
- Titul
- Stationarity and Convergence in Reduce-or-Retreat Minimization
- Jazyk
- anglicky
- Autoři
- Adam B. Levy
- Vydavatel
- Springer New York
- Rok vydání
- 2012
- Vazba
- měkká
- Počet stran
- 68
- ISBN13
- 9781461446415
- Kategorie
- Matematika, Počítače, IT, programování
- Anotace
- The book presents a comprehensive framework for various numerical optimization methods through its "reduce-or-retreat" approach, which balances reducing the objective at trial points with retreating to closer alternatives. It aligns derivative-based methods, fostering the development of new techniques and theoretical insights. The author introduces generalizations for non-smooth objectives and examines convergence through a novel notion of stationarity. By exploring descent conditions and situational convergence, the text broadens traditional analyses and connects diverse minimization strategies.