Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13)

(3)
Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13) image
ISBN-10:

3111348768

ISBN-13:

9783111348766

Edition: 1
Released: Dec 02, 2024
Publisher: de Gruyter
Format: Hardcover, 194 pages

Description:

This book will introduce new physical approaches (include fractional derivative models, continuous time random walk methods and Hausdorff derivative models) to accurately characterize anomalous sediment transport in turbulent flow. This book will systematically investigate anomalous sediment transport inexperiments, physical analysis, stochastic model and field applications.

Best prices to buy, sell, or rent ISBN 9783111348766




Frequently Asked Questions about Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13)

You can buy the Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13) book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .

The price for the book starts from $168.98 on Amazon and is available from 2 sellers at the moment.

If you’re interested in selling back the Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.

As for the Fractional and Fractal Derivative Models for Anomalous Sediment Transport (Fractional Calculus in Applied Sciences and Engineering, 13) book, the best buyback offer comes from and is $ for the book in good condition.

Not enough insights yet.

Not enough insights yet.