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Pre-order Releases Mar 22, 2027

Paperback

Machine Learning Evolution Equations: Inverse Reconstruction from Simulated Data (De Gruyter Textbook)

by Joseph L. Shomberg

$65.56 / copy at 25+ copies As low as $58.09 at 1,000+Your best volume price

420 pages De Gruyter ISBN 9783111705064
Machine Learning Evolution Equations: Inverse Reconstruction from Simulated Data (De Gruyter Textbook) book cover by Joseph L. Shomberg
Ships on release · Mar 22 Releases Monday, March 22, 2027. Pre-order now: your copies ship on release and usually arrive around the release date.

About the book

Machine Learning Evolution Equations

How can we reconstruct the past from the present when evolution obscures the information we need? Machine Learning Evolution Equations connects the analysis of partial differential equations with numerical simulation and machine learning to investigate this question. Through models of diffusion, phase separation, fluid flow, and wave propagation, the book develops methods for learning inverse reconstructions from simulated data. Reconstruction accuracy, physical consistency, and statistical validation provide a framework for assessing what these models can recover. Written for graduate students and researchers, it links rigorous mathematics with reproducible computational experiments.



The book, Machine Learning Evolution Equations: Inverse Reconstruction from Simulated Data (De Gruyter Textbook) [Bulk, Wholesale, Quantity] ISBN#9783111705064 in Paperback by Joseph L. Shomberg may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
De Gruyter
Author
Joseph L. Shomberg
Format
Paperback
Release date
Mar 22, 2027
ISBN-13
9783111705064
ISBN-10
3111705064
Pages
420

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Machine Learning Evolution Equations in bulk: pricing

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CopiesPrice per copyYou save
25 – 99 $65.56 21% off list
100 – 249 $63.07 24% off list
250 – 499 $62.24 25% off list
500 – 999 $59.75 28% off list
1,000+ $58.09 30% off list
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