img

Notice détaillée

Application-Inspired Linear Algebra

Livre Ecrit par: Asaki, Thomas J. ; Snipes, Marie A. ; Moon, Heather A. ; Publié en: 2022


Edition: Cham: Springer
Langue: Anglais
Collation: Données textuelles
ISBN: 9783030861551
Thème Mathématiques

Mots clés:
Linear algbera applications
Diffusion linear algebra
Data driven linear algebra
Inverse problems linear algebra
Tomography math
Radiography math
Linear algebra data science
Linear algebra medicine
Linear algebra engineering
Linear algebra computer science
Inquiry learning linear algebra
Inquiry based learning algebra
Linear algebra Matlab
Linear algebra Matlab code
Linear algebra Octave

Application-Inspired Linear Algebra

Sommaire