Some books are available for MatriCS’s users. If you are interested in a book, please feel free to contact us to check its availability and obtain information on borrowing terms.

Artificial Intelligence

• Deep Reinforcement Learning Hands-On (2nd edition) from M. Lapan (Ed. Packt) – 2020
• Deep Learning avec Keras et TensorFlow – Mise en oeuvre et cas concrets (2nd edition) from A. Géron (Ed. Dunod)
• Machine Learning avec Scikit-Learn – Mise en oeuvre et cas concrets (2nd edition) from A. Géron (Ed. Dunod) – 2019
• Algorithmique – Cours avec 957 exercices et 158 problèmes (3rd edition) from T. Cormen, C. Leiserson, R. Rivest and C. Stein (Ed. Dunod) – 2019

Programming

• Think Julia – How to Think Like a Computer Scientist from B. Lauwens and A. Downey (Ed. O’REILLY) – 2019
• Les circuits FPGA et le langage VHDL – Une introduction pour les programmeurs et par l’exemple from J. Sérot (Ed. Ellipses)
• GPU Parallel Program Development Using CUDA from T. Soyata (Ed. CRC Press)
• Effective Java – Best practices for the Java Platform – Updated for Java 9 (3rd edition) from J. Bloch (Ed. Pearson) – 2018
• Débuter en Algorithmique avec MATLAB et SCILAB from J-P. Grenier (Ed. Ellipse) – 2007

Molecular Dynamics

• Molecular Dynamics With Deterministic and Stochastic Numerical Methods (Interdisciplinary Applied Mathematics 39) from B. Leimkuhler and C. Matthews (Ed. Springer) – 2015

HPC Computing

• Informatique quantique – De la physique quantique à la programmation quantique en Q# from B. Prieur (Ed. eni) – 2019
• Calcul scientifique parallèle (2e édition) from F. Magoulès and F-X. Roux (Ed. Dunod) – 2017
• Job Scheduling Strategies for Parallel Processing (JSSPP 2018) from D. Klusacek, W. Cirne and N. Desai (Ed. Springer) – 2018

Network and System

• Développement système sous Linux – Ordonnancement multitâche, gestion mémoire, communications, programmation réseau (5e édition) de C. Blaess (Ed. EYROLLES) – 2019