Bookshock Ask Tez ✨
Wave Phenomena Mathematical Analysis and Numerical Approximation cover

Wave Phenomena Mathematical Analysis and Numerical Approximation

by Willy Dörfler, Marlis Hochbruck, Jonas Köhler, Andreas Rieder, Roland Schnaubelt, Christian Wieners

Lowest price on Bookshock
$70.04
1 offer
In stock

Ask Tez about this book →

This title is temporarily out of stock. Email support@bookshock.ai or call (972) 638-0790 and we'll let you know when it's back.
Free US shipping
30-day free returns
Stripe-secured checkout

All offers (1)

PriceConditionSeller
$70.04Best price New Basi6 International LLC

Stock and pricing refresh on page load. Tez can also compare prices on Amazon, AbeBooks, and ThriftBooks if you ask.

About this book

This book presents the notes from the seminar on wave phenomena given in 2019 at the Mathematical Research Center in Oberwolfach.<br>The research on wave-type problems is a fascinating and emerging field in mathematical research with many challenging applications in sciences and engineering. Profound investigations on waves require a strong interaction of several mathematical disciplines including functional analysis, partial differential equations, mathematical modeling, mathematical physics, numerical analysis, and scientific computing.<br>The goal of this book is to present a comprehensive introduction to the research on wave phenomena. Starting with basic models for acoustic, elastic, and electro-magnetic waves, topics such as the existence of solutions for linear and some nonlinear material laws, efficient discretizations and solution methods in space and time, and the application to inverse parameter identification problems are covered. The aim of this book is to intertwine analysis and numerical mathematics for wave-type problems promoting thus cooperative research projects in this field.

Details

Format
Paperback
Pages
368
Publisher
Springer International Publishing
Language
EN
Edition
1st ed. 2023
ISBN-13
9783031057922
ISBN-10
3031057929

Categories

Mathematics, Numerical Analysis, Differential Equations, Probability & Statistics