Scientific machine learning: foundations, algorithms, and applications
Auteur :
Bhuyan, Bikram Pratim / Saadi, Amylia Ait / Meraihi, Yassine / Ramdane-Cherif, Amar
Éditeur :
Springer Verlag, Singapore
ISBN :
9789819578559
Date de publication :
24 juil. 2026
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Singapour
This book highlights and addresses a crucial need in the emerging field of Scientific Machine Learning (SciML) by offering a comprehensive and accessible guide that blends theory, algorithms, and applications.