Statistical Methods for Materials Science: The Data Science of Microstructure Characterization - Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA) - Grāmatas - Taylor & Francis Ltd - 9780367780289 - 2021. gada 31. marts
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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization 1. izdevums

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Paredzamā piegāde . gada 24. aug. - . gada 7. sept.
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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.


514 pages

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2021. gada 31. marts
ISBN13 9780367780289
Izdevēji Taylor & Francis Ltd
Lapas 514
Izmēri 150 × 220 × 10 mm   ·   453 g
Valoda Angļu  
Redaktors Bouman, Charles A. (Purdue University, ECE and Biomedical Engineering, West Lafayette, Indiana, USA)
Redaktors De Graef, Marc (Carnegie Mellon University, Department of Materials Science and Engineering, Pittsburgh, Pennsylvania, USA)
Redaktors Drummy, Lawrence F. (Carnegie Mellon University, Materials Science and Engineering Department, Pittsburgh, Pennsylvania, USA)
Redaktors Simmons, Jeffrey P. (Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, USA)

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