Generating Functions in Engineering and the Applied Sciences

Author:   Rajan Chattamvelli ,  Ramalingam Shanmugam
Publisher:   Morgan & Claypool Publishers
ISBN:  

9781681736389


Pages:   111
Publication Date:   30 August 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Generating Functions in Engineering and the Applied Sciences


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Overview

"This is an introductory book on generating functions (GFs) and their applications. It discusses commonly encountered generating functions in engineering and applied sciences, such as ordinary generating functions (OGF), exponential generating functions (EGF), probability generating functions (PGF), etc. Some new GFs like Pochhammer generating functions for both rising and falling factorials are introduced in Chapter 2. Two novel GFs called ""mean deviation generating function"" (MDGF) and ""survival function generating function"" (SFGF), are introduced in Chapter 3. The mean deviation of a variety of discrete distributions are derived using the MDGF. The last chapter discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics. Some background knowledge on GFs is often assumed for courses in analysis of algorithms, advanced data structures, digital signal processing (DSP), graph theory, etc. These are usually provided by either a course on ""discrete mathematics"" or ""introduction to combinatorics."" But, GFs are also used in automata theory, bio-informatics, differential equations, DSP, number theory, physical chemistry, reliability engineering, stochastic processes, and so on. Students of these courses may not have exposure to discrete mathematics or combinatorics. This book is written in such a way that even those who do not have prior knowledge can easily follow through the chapters, and apply the lessons learned in their respective disciplines. The purpose is to give a broad exposure to commonly used techniques of combinatorial mathematics, highlighting applications in a variety of disciplines."

Full Product Details

Author:   Rajan Chattamvelli ,  Ramalingam Shanmugam
Publisher:   Morgan & Claypool Publishers
Imprint:   Morgan & Claypool Publishers
Dimensions:   Width: 19.10cm , Height: 0.60cm , Length: 23.50cm
Weight:   0.204kg
ISBN:  

9781681736389


ISBN 10:   1681736381
Pages:   111
Publication Date:   30 August 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

List of Tables Types of Generating Functions Operations on Generating Functions Generating Functions in Statistics Applications of Generating Functions Bibliography Authors' Biographies Index

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Author Information

Rajan Chattamvelli is a professor in the school of advanced sciences at VIT University, Vellore, Tamil Nadu. He has published more than 20 research articles in international journals of repute, and at various conferences. His research interests are in computational statistics, design of algorithms, parallel computing, object-oriented programming, data mining, machine learning, combinatorics, and big data analytics. His prior assignments include Denver Public Health, Colorado; Metromail Corporation, Lincoln, Nebraska; Frederick University, Cyprus; Indian Institute of Management; Periyar Maniammai University, Thanjavur; Presidency University, Bangalore. Ramalingam Shanmugam is a honorary professor in the school of Health Administration at Texas State University. He is the editor of the journals Advances in Life Sciences, Global Journal of Research and Review, International journal of research in Medical Sciences, and book-review editor of the Journal of Statistical Computation and Simulation. He has published more than 200 research articles and 120 conference papers. His areas of research include theoretical and computational statistics, number theory, operations research, biostatistics, decision making, and epidemiology. His prior assignments include University of South Alabama, University of Colorado at Denver, Argonne National Labs, Indian Statistical Institute, and Mississippi State University. He is a fellow of the International Statistical Institute.

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