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Riemann Problems and Jupyter S - Paperback - VERY GOOD

SS and KS New 2 You Fashions
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US $32.00
ApproximatelyC $43.86
Condition:
Like New
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Located in: Creedmoor, North Carolina, United States
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eBay item number:157085176619

Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Brand
Unbranded
Book Title
Riemann Problems and Jupyter Solutions (Fundamentals of Algorith
MPN
Does not apply
ISBN
9781611976205

About this product

Product Identifiers

Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
1611976200
ISBN-13
9781611976205
eBay Product ID (ePID)
28050409436

Product Key Features

Number of Pages
178 Pages
Language
English
Publication Name
Riemann Problems and Jupyter Solutions
Publication Year
2020
Subject
General
Type
Textbook
Author
David I. Ketcheson, Mauricio J. Del, Randall J. Leveque
Subject Area
Mathematics
Series
Fundamentals of Algorithms Ser.
Format
Trade Paperback

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2020-009138
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
515/.3535
Synopsis
This book addresses an important class of mathematical problems (the Riemann problem) for first-order hyperbolic partial differential equations (PDEs), which arise when modeling wave propagation in applications such as fluid dynamics, traffic flow, acoustics, and elasticity. It covers the fundamental ideas related to classical Riemann solutions, including their special structure and the types of waves that arise, as well as the ideas behind fast approximate solvers for the Riemann problem. The emphasis is on the general ideas, but each chapter delves into a particular application. The book is available in electronic form as a collection of Jupyter notebooks that contain executable computer code and interactive figures and animations., Covers the fundamental ideas related to classical Riemann solutions, including their special structure and the types of waves that arise, as well as the ideas behind fast approximate solvers for the Riemann problem. The emphasis is on the general ideas, but each chapter delves into a particular application.
LC Classification Number
QA379.K48 2020

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