Stochastic Models in Operations Research
Title | Stochastic Models in Operations Research PDF eBook |
Author | Daniel P. Heyman |
Publisher | Courier Corporation |
Pages | 564 |
Release | 2004-01-01 |
Genre | Mathematics |
ISBN | 9780486432595 |
This volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. Explores stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, this graduate-level text emphasizes the practical importance, intellectual stimulation, and mathematical elegance of stochastic models.
Stochastic Processes and Models in Operations Research
Title | Stochastic Processes and Models in Operations Research PDF eBook |
Author | Anbazhagan, Neelamegam |
Publisher | IGI Global |
Pages | 359 |
Release | 2016-03-24 |
Genre | Business & Economics |
ISBN | 1522500456 |
Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.
Stochastic Models in Operations Research: Stochastic optimization
Title | Stochastic Models in Operations Research: Stochastic optimization PDF eBook |
Author | Daniel P. Heyman |
Publisher | Courier Corporation |
Pages | 580 |
Release | 2004-01-01 |
Genre | Mathematics |
ISBN | 9780486432601 |
This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, they emphasize the practical importance, intellectual stimulation, and mathematical elegance of stochastic models and are intended primarily as graduate-level texts.
Operations Research Models and Methods
Title | Operations Research Models and Methods PDF eBook |
Author | Paul A. Jensen |
Publisher | John Wiley & Sons |
Pages | 708 |
Release | 2002-10-08 |
Genre | Technology & Engineering |
ISBN | 0471380040 |
In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.
Constructive Computation in Stochastic Models with Applications
Title | Constructive Computation in Stochastic Models with Applications PDF eBook |
Author | Quan-Lin Li |
Publisher | Springer Science & Business Media |
Pages | 693 |
Release | 2011-02-02 |
Genre | Mathematics |
ISBN | 364211492X |
"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.
Stochastic Processes Model and Its Application in Operations Research
Title | Stochastic Processes Model and Its Application in Operations Research PDF eBook |
Author | Chun Yuan Hsu |
Publisher | |
Pages | 104 |
Release | 1969 |
Genre | |
ISBN |
Introduction to Modeling and Analysis of Stochastic Systems
Title | Introduction to Modeling and Analysis of Stochastic Systems PDF eBook |
Author | V. G. Kulkarni |
Publisher | Springer |
Pages | 323 |
Release | 2010-11-03 |
Genre | Mathematics |
ISBN | 1441917721 |
This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.