Integral Methods in Science and Engineering

Lieferzeit: Lieferbar innerhalb 14 Tagen

128,39 

Analytic Treatment and Numerical Approximations

ISBN: 3030160769
ISBN 13: 9783030160760
Herausgeber: Christian Constanda/Paul Harris
Verlag: Springer Basel AG
Umfang: xvi, 478 S., 44 s/w Illustr., 82 farbige Illustr., 478 p. 126 illus., 82 illus. in color.
Erscheinungsdatum: 30.07.2019
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: GEB

This contributed volume contains a collection of articles on state-of-the-art developments on the construction of theoretical integral techniques and their application to specific problems in science and engineering. The chapters in this book are based on talks given at the Fifteenth International Conference on Integral Methods in Science and Engineering, held July 16-20, 2018 at the University of Brighton, UK, and are written by internationally recognized researchers. The topics addressed are wide ranging, and include: – Asymptotic analysis Boundarydomain integral equations Viscoplastic fluid flow Stationary waves Interior Neumann shape optimization Selfconfiguring neural networks This collection will be of interest to researchers in applied mathematics, physics, and mechanical and electrical engineering, as well as graduate students in these disciplines and other professionals for whom integration is an essential tool.

Artikelnummer: 6891090 Kategorie:

Beschreibung

This contributed volume contains a collection of articles on state-of-the-art developments on the construction of theoretical integral techniques and their application to specific problems in science and engineering. The chapters in this book are based on talks given at the Fifteenth International Conference on Integral Methods in Science and Engineering, held July 16-20, 2018 at the University of Brighton, UK, and are written by internationally recognized researchers. The topics addressed are wide ranging, and include: - Asymptotic analysis Boundarydomain integral equations Viscoplastic fluid flow Stationary waves Interior Neumann shape optimization Selfconfiguring neural networks This collection will be of interest to researchers in applied mathematics, physics, and mechanical and electrical engineering, as well as graduate students in these disciplines and other professionals for whom integration is an essential tool.

Autorenporträt

Christian Constanda, PhD, is the Charles W. Oliphant Professor of Mathematics at The University of Tulsa, Oklahoma, USA Paul Harris, PhD, is a professor at the School of Computing, Engineering & Maths at the University of Brighton

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