Generating Functions in Engineering and the Applied Sciences

Author:   Rajan Chattamvelli ,  Ramalingam Shanmugam
Publisher:   Springer International Publishing AG
Edition:   2nd ed. 2023
ISBN:  

9783031211423


Pages:   119
Publication Date:   02 January 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Generating Functions in Engineering and the Applied Sciences


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Overview

Generating function (GF) is a mathematical technique to concisely represent a known ordered sequence into a simple continuous algebraic function in dummy variable(s). This Second Edition introduces commonly encountered generating functions (GFs) in engineering and applied sciences, such as ordinary GF (OGF), exponential GF (EGF), as also Dirichlet GF (DGF), Lambert GF (LGF), Logarithmic GF (LogGF), Hurwitz GF (HGF), Mittag-Lefler GF (MLGF), etc.  This book is intended mainly for beginners in applied science and engineering fields to help them understand single-variable GFs and illustrate how to apply them in various practical problems.  Specifically, the book discusses probability GFs (PGF),  moment and cumulant GFs (MGF, CGF), mean deviation GFs (MDGF), survival function GFs (SFGF), rising and falling factorial GFs, factorial moment, and inverse factorial moment GFs.  Applications of GFs in algebra, analysis of algorithms, bioinformatics, combinatorics, economics, finance, genomics, geometry, graph theory, management, number theory, polymer chemistry, reliability, statistics and structural engineering have been added to this new edition. This book is written in such a way that readers who do not have prior knowledge of the topic can easily follow through the chapters and apply the lessons learned in their respective disciplines.

Full Product Details

Author:   Rajan Chattamvelli ,  Ramalingam Shanmugam
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2nd ed. 2023
Weight:   0.417kg
ISBN:  

9783031211423


ISBN 10:   3031211421
Pages:   119
Publication Date:   02 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

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Rajan Chattamvelli, Ph.D., is a Professor in the School of Advanced Sciences at Vellore Institute of Technology, Tamil Nadu, India.  He has published more than 20 research articles in international journals, and his research interests include computational statistics, design of algorithms, parallel computing, data mining, machine learning, blockchain, combinatorics, and big data analytics. Ramalingam Shanmugam, Ph.D., is an Honorary Professor in the School of Health Administration at Texas State University, San Marcos.  He is the Editor-in-Chief of four journals including Advances in Life Sciences; Global Journal of Research and Review; Journal of Obesity and Metabolism; and the International Journal of Research in Medical Sciences.  He has published more than 200 research articles and 120 conference papers.  Dr.  Shanmugam's research interests include theoretical and computational statistics, number theory, operationsresearch, biostatistics, decision making, and epidemiology.

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