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Birkhäuser
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Distributions in the Physical and Engineering Sciences, Volume 1

Distributional and Fractal Calculus, Integral Transforms and Wavelets

  • Textbook
  • © 2018

Overview

  • Illustrates how the theory of distributions can be applied to solve problems in the physical and engineering sciences
  • Includes a robust selection of example problems that can arise in real-life industrial and scientific labs
  • Will be a valuable resource for researchers and graduate students who would like more exposure to probabilistic methods

Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)

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Table of contents (8 chapters)

  1. Distributions and Their Basic Applications

  2. Integral Transforms and Divergent Series

Keywords

About this book

Distributions in the Physical and Engineering Sciences is a comprehensive exposition on analytic methods for solving science and engineering problems which is written from the unifying viewpoint of distribution theory and enriched with many modern topics which are important to practitioners and researchers. The goal of the book is to give the reader, specialist and non-specialist usable and modern mathematical tools in their research and analysis. This new text is intended for graduate students and researchers in applied mathematics, physical sciences and engineering. The careful explanations, accessible writing style, and many illustrations/examples also make it suitable for use as a self-study reference by anyone seeking greater understanding and proficiency in the problem solving methods presented. The book is ideal for a general scientific and engineering audience, yet it is mathematically precise. The present, softcover reprint is designed to make this classic textbookavailable to a wider audience.

Authors and Affiliations

  • Mathematical Department, State University of Nizhny Novgorod, Nizhny Novgorod, Russia

    Alexander I. Saichev

  • Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, USA

    Wojbor Woyczynski

About the authors

​Alexander I. Saichev was Professor of Mathematics at the Radio Physics Faculty of the Nizhny Novgorod University and a Professor in the Department of Management, Technology, and Economics at the Swiss Federal Institute of Technology.

Wojbor A. Woyczynski is Professor of Mathematics and Director of the Center for Stochastic and Chaotic Processes in Science and Technology at Case Western University.


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