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Statistical Methods for Materials Science

Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

by Charles A. Bouman, Jeffrey P. Simmons,  Marc De Graef and others
Hardback
Publication Date: 07/02/2019
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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.

ISBN:
9781498738200
9781498738200
Category:
Materials science
Format:
Hardback
Publication Date:
07-02-2019
Language:
English
Publisher:
Taylor & Francis Group
Country of origin:
United Kingdom
Dimensions (mm):
262x185x35mm
Weight:
1.1kg

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You can find this item in:

Mathematics Condensed matter physics (liquid state & solid state physics) Materials science Environmental science Engineering: general Physics Probability & statistics Life sciences: general issues
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