Stochastic Modeling and Control

Ivan Ivanov

ISBN 10: 9535108301 / ISBN 13: 9789535108306

Published by Intechopen Nov 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Stochastic control plays an important role in many scientific and applied disciplines including communications, engineering, medicine, finance and many others. It is one of the effective methods being used to find optimal decision-making strategies in applications. The book provides a collection of outstanding investigations in various aspects of stochastic systems and their behavior.The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications drawn from engineering, statistics, and computer science. Readers should be familiar with basic probability theory and have a working knowledge of stochastic calculus. PhD students and researchers in stochastic control will find this book useful.Books on Demand GmbH, Überseering 33, 22297 Hamburg 286 pp. Englisch.

Seller Inventory # 9789535108306

Bibliographic Details

• Title: Stochastic Modeling and Control
• Publisher: Intechopen Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 9535108301
• ISBN 13: 9789535108306
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 24D millimeters 266 millimeters width by 185 millimeters height by 24 millimeters depth
• Weight: 833 grams

About this title

Synopsis

Stochastic control plays an important role in many scientific and applied disciplines including communications, engineering, medicine, finance and many others. It is one of the effective methods being used to find optimal decision-making strategies in applications. The book provides a collection of outstanding investigations in various aspects of stochastic systems and their behavior. The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications drawn from engineering, statistics, and computer science. Readers should be familiar with basic probability theory and have a working knowledge of stochastic calculus. PhD students and researchers in stochastic control will find this book useful.