Statistical Modeling And Simulation For Microstructure In Materials Science

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Statistical Methods for Materials Science

Statistical Methods for Materials Science
Author :
Publisher : CRC Press
Total Pages : 537
Release :
ISBN-10 : 9781498738217
ISBN-13 : 1498738214
Rating : 4/5 (214 Downloads)

Book Synopsis Statistical Methods for Materials Science by : Jeffrey P. Simmons

Download or read book Statistical Methods for Materials Science written by Jeffrey P. Simmons and published by CRC Press. This book was released on 2019-02-13 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.


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