Mohlo by sa vám tiež páčiť

Viac informácií o knihe Optimization Primer

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 207 bodov

Anotácia knihy

This richly illustrated book introduces the subject of optimization to a broad audience with a balanced treatment of theory, models and algorithms. Through numerous examples from statistical learning, operations research, engineering, finance and economics, the text explains how to formulate and justify models while accounting for real-world considerations such as data uncertainty. It goes beyond the classical topics of linear, nonlinear and convex programming and deals with nonconvex and nonsmooth problems as well as games, generalized equations and stochastic optimization.The book teaches theoretical aspects in the context of concrete problems, which makes it an accessible onramp to variational analysis, integral functions and approximation theory. More than 100 exercises and 200 fully developed examples illustrate the application of the concepts. Readers should have some foundation in differential calculus and linear algebra. Exposure to real analysis would be helpful but is not prerequisite. 

Parametre knihy

• Celý názov: Optimization Primer
• Autor: Johannes O. Royset, Roger J. Wets
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 677
• EAN: 9783030762742
• ISBN: 3030762742
• ID: 37628870
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 1641 g
• Rozmery: 254 × 178 × 41 mm
• Dátum vydania: 06. April 2022

Obľúbené z iného súdka

---

---

---