Statistical Methods for Materials Science: The Data Science of Microstructure CharacterizationКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Statistical Methods for Materials Science: The Data Science of Microstructure Characterization Автор: Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef Издательство: CRC Press Год: 2019 Формат: PDF Страниц: 537 Размер: 113,81 МБ Язык: English
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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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization 
