Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

ISBN 10: 1498738206 / ISBN 13: 9781498738200

Edité par CRC Press, 2019

A propos de cet article

N° de réf. du vendeur SHUB184024

Détails bibliographiques

• Titre: Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
• Éditeur: CRC Press
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1498738206
• ISBN à 13 chiffres: 9781498738200
• Reliure: Couverture rigide
• État de l'article: Neuf

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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.

À propos de l?auteur

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