You might also like

More about Optimization Primer

• Book details
• Synopsis
• Trending among others

You get 207 loyalty points

Book synopsis

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. 

Book details

• Full title: Optimization Primer
• Author: Johannes O. Royset, Roger J. Wets
• Language: English
• Binding: Hardback
• Number of pages: 677
• EAN: 9783030762742
• ISBN: 3030762742
• ID: 37628870
• Publisher: Springer Nature Switzerland AG
• Weight: 1641 g
• Dimensions: 254 × 178 × 41 mm
• Date of publishing: 06. April 2022

Trending among others

---

---

---