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Div, Grad, Curl, and All That

An Informal Text on Vector Calculus
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( 820 ratings, 43 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Div, Grad, Curl, and All That offers a clear and concise introduction to vector calculus, focusing on gradient, curl, and Laplacian operators. It is designed to help science and engineering students grasp these concepts without needing advanced mathematical background.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is suitable for science and engineering students seeking a straightforward understanding of vector calculus fundamentals.

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Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus, helping science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without required knowledge of advanced mathematics.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus. It helps science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without requiring knowledge of advanced mathematics.

Book Details

INFORMATION

ISBN: 9780393925166

Publisher: WW Norton & Co

Format: Paperback / softback

Date Published: 01 December 2004

Country: United States

Imprint: WW Norton & Co

Edition: Fourth Edition

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Spine width: 15.0mm

Width: 155.0mm

Height: 236.0mm

Weight: 286g

Pages: 176

About the Author

H. M. Schey is Professor of Mathematics and Statistics at the Rochester Institute of Technology.

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