Optimization, Control and Applications of Stochastic Systems
Book Details:
| Publisher: | Springer |
| Series: | Springer |
| Author: | Daniel Hernandez-Hernandez |
| Edition: | 1 |
| ISBN-10: | 0817683364 |
| ISBN-13: | 9780817683368 |
| Pages: | 340 |
| Published: | Aug 14 2012 |
| Posted: | Mar 26 2015 |
| Language: | English |
| Book format: | |
| Book size: | 4.11 MB |
Book Description:
Thisvolume provides a general overview ofdiscrete- and continuous-time Markov control processes and stochastic games, along witha look atthe range of applications of stochastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation algorithms,and infinite-dimensional linear programming. In all, the work comprises 18 carefully selected papers written by experts in their respective fields. Optimization, Control, and Applications of Stochastic Systems will be a valuable resource for all practitioners, researchers, and professionals in applied mathematics and operations research who work in the areas of stochastic control, mathematical finance, queueing theory, and inventory systems. Itmay also serve as a supplemental text for graduate courses in optimal control and dynamic games.
Download Link:
Related Books:
Fuzzy Stochastic Optimization
Theory, Models and Applications
In 2014, winner of "Outstanding Book Award" by The Japan Society for Fuzzy Theory and Intelligent Informatics.Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy stochastic optimization that deploys the fuzzy random variable as a core mathematical tool to model the integrated fuzzy random uncertainty. It proceeds in an orderly fashion from the requisite theoretical aspects of the fuzzy random variable to fuzzy stochastic optimization models and their real-life case studies.The volume reflects the fact that randomness and fuzziness (or vagueness) are two major sources of uncertainty in the real world, with significant implications in a number of settings. In...
Engineering Secure Two-Party Computation Protocols
Design, Optimization and Applications of Efficient Secure Function Evaluation
Secure two-party computation, called secure function evaluation (SFE), enables two mutually mistrusting parties, the client and server, to evaluate an arbitrary function on their respective private inputs while revealing nothing but the result. Originally the technique was considered to be too inefficient for practical privacy-preserving applications, but in recent years rapid speed-up in computers and communication networks, algorithmic improvements, automatic generation, and optimizations have enabled their application in many scenarios.The author offers an extensive overview of the most practical and efficient modern techniques used in the design and implementation of secure computation and related protocols. After an introduction that sets secure...
Process Control and Optimization
Instrument Engineers' Handbook Volume 2
4th Edition
The latest update to Bela Liptak's acclaimed "bible" of instrument engineering is now available. Retaining the format that made the previous editions bestsellers in their own right, the fourth edition of Process Control and Optimization continues the tradition of providing quick and easy access to highly practical information. The authors are practicing engineers, not theoretical people from academia, and their from-the-trenches advice has been repeatedly tested in real-life applications. Expanded coverage includes descriptions of overseas manufacturer's products and concepts, model-based optimization in control theory, new major inventions a...
2007 - 2021 © eBooks-IT.org