A Student's Guide to the Navier-Stokes Equations

(Autor) Garvin Justin W Justin W. Garvin
Formato: Paperback
£17,99 Precio: £15,48 (14% off)
Generally dispatched in 1 to 2 days

The Navier-Stokes equations describe the motion of fluids and are an invaluable addition to the toolbox of every physicist, applied mathematician, and engineer. The equations arise from applying Newton's laws of motion to a moving fluid and are considered, when used in combination with mass and energy conservation rules, to be the fundamental governing equations of fluid motion. They are relevant across many disciplines, from astrophysics and oceanic sciences to aerospace engineering and materials science. This Student's Guide provides a clear and focused presentation of the derivation, significance and applications of the Navier-Stokes equations, along with the associated continuity and energy equations. Designed as a useful supplementary resource for undergraduate and graduate students, each chapter concludes with a selection of exercises intended to reinforce and extend important concepts. Video podcasts demonstrating the solutions in full are provided online, along with written solutions and other additional resources.

Information
Editorial:
Cambridge University Press
Formato:
Paperback
Idioma:
en
ISBN:
9781009236164
Año de publicación:
2023
Fecha publicación:
9 de Febrero de 2023
Weight:
0 lb

Garvin Justin W

Justin W. Garvin

Reviews

Leave a review

Please login to leave a review.

Be the first to review this product

Other related

A Student's Guide to the Laws of Thermodynamics

A Student's Guide to the Laws of Thermodynamics

Justin W. Garvin
Paperback
Publicada: 2026
First Picture Encyclopedia of Dinosaurs

First Picture Encyclopedia of Dinosaurs

Belinda Gallagher
HardCover
The Illustrated Encyclopedia of Science

The Illustrated Encyclopedia of Science

Explore the Wonders of Life, Matter, Energy, and More

Claudia Martin
HardCover
Honey Bee

Honey Bee

Grace Jones
HardCover
Kangaroo

Kangaroo

Shalini Vallepur
HardCover
Essentials for Deeper Understanding of Quantum Computing