Overview
- Provides detailed descriptions of numerical grid-characteristic methods
- Presents applications and solutions of hyperbolic problems in Engineering, Science, Healthcare, Aviation, Railways and other contexts
- Includes intelligent paradigms and connection with the decision making aspect of wave process modelling
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 90)
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Table of contents (9 chapters)
Keywords
About this book
This book presents methods for full-wave computer simulation that can be used in various applications and contexts, e.g. seismic prospecting, earthquake stability, global seismic patterns on Earth and Mars, medicine, traumatology, ultrasound investigation of the human body, ultrasound and laser operations, ultrasonic non-destructive railway testing, modelling aircraft composites, modelling composite material delamination, etc. The key innovation of this approach is the ability to study spatial dynamical wave processes, which is made possible by cutting-edge numerical finite-difference grid-characteristic methods.
The book will benefit all students, researchers, practitioners and professors interested in numerical mathematics, computer science, computer simulation, high-performance computer systems, unstructured meshes, interpolation, seismic prospecting, geophysics, medicine, non-destructive testing and composite materials.
Editors and Affiliations
Bibliographic Information
Book Title: Innovations in Wave Processes Modelling and Decision Making
Book Subtitle: Grid-Characteristic Method and Applications
Editors: Alena V. Favorskaya, Igor B. Petrov
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-3-319-76201-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-76200-5Published: 26 February 2018
Softcover ISBN: 978-3-319-89289-4Published: 04 June 2019
eBook ISBN: 978-3-319-76201-2Published: 16 February 2018
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XI, 270
Number of Illustrations: 68 b/w illustrations, 52 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory, Computational Science and Engineering