CURRENTLY SOLD OUT

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning by Abhijit Gosavi (Paperback, 2010)

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: *An accessible introduction to reinforcement learning and parametric-optimization techniques. *A step-by-step description of several algorithms of simulation-based optimization. *A clear and simple introduction to the methodology of neural networks. *A gentle introduction to convergence analysis of some of the methods enumerated above. *Computer programs for many algorithms of simulation-based optimization.

Subject Area
Data Analysis
Author
Abhijit Gosavi
Publication Name
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning
Format
Paperback
Language
English
Subject
Computer Science, Mathematics, Management
Publication Year
2010
Type
Textbook
Number of Pages
554 Pages

Best Selling in Adult Learning & University

Current slide {CURRENT_SLIDE} of {TOTAL_SLIDES}- Best Selling in Adult Learning & University

Current slide {CURRENT_SLIDE} of {TOTAL_SLIDES}- Save on Adult Learning & University