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Can I read Turnpike Theory for the Robinson–Solow–Srinivasan Model (Springer Optimization and Its Applications, 166) on EtoBox?
Turnpike Theory for the Robinson–Solow–Srinivasan Model (Springer Optimization and Its Applications, 166) by Alexander J. Zaslavski (auth.) is a nonfiction available to read on EtoBox.
What is Turnpike Theory for the Robinson–Solow–Srinivasan Model (Springer Optimization and Its Applications, 166) about?
This book is devoted to the study of a class of optimal control problems arising in mathematical economics, related to the Robinson–Solow–Srinivasan (RSS) model. It will be useful for researches interested in the turnpike theory, infinite horizon optimal control and their applications, and mathematical economists. The RSS is a well-known model of economic dynamics that was introduced in the 1960s and as many other models of economic dynamics, the RSS model is determined by an objective function (a utility function) and a set-valued mapping (a technology map). The set-valued map generates a dynamical system whose trajectories are under consideration and the objective function determines an optimality criterion. The goal is to find optimal trajectories of the dynamical system, using the optimality criterion. Chapter 1 discusses turnpike properties for some classes of discrete time optimal control problems. Chapter 2 present the description of the RSS model and discuss its basic properties. Infinite horizon optimal control problems, related to the RSS model are studied in Chapter 3. Turnpike properties for the RSS model are analyzed in Chapter 4. Chapter 5 studies infinite horizon o
Who reads Turnpike Theory for the Robinson–Solow–Srinivasan Model (Springer Optimization and Its Applications, 166)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Alexander J. Zaslavski (auth.)
- Publisher
- Springer International Publishing AG
- Published
- 2021
- Language
- EN
- ISBN
- 9788303060303
- Category
- nonfiction
- Subjects
- Business, Science, Mathematics