Articles liés à Statistical Methods for Materials Science

Statistical Methods for Materials Science - Couverture souple

 
9780367780289: Statistical Methods for Materials Science

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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À propos de l'auteur

Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.