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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization - Hardcover
Synopsis
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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About the Author
Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
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- PublisherCRC Press
- Publication date2019
- ISBN 10 1498738206
- ISBN 13 9781498738200
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages536
- EditorSimmons Jeffrey P., Drummy Lawrence F., Bouman Charles A., De Graef Marc
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