Computational Physics Problem Solving with Python

Fourth edition of a classic on computational physics with new chapters on data science, machine learning and general relativity, plus a plethora of supplementary materials.

Info autore

Rubin H. Landau, PhD, is Professor Emeritus in the Department of Physics at Oregon State University, Corvallis, Oregon, USA. In his long and distinguished research career he has been instrumental in the development of computational physics as a defined subject, and founded both the Computational Physics Degree Program and the Northwest Alliance for Computational Science and Engineering. Manuel J. Páez, PhD, is a Professor in the Department of Physics at the University of Antioquia in Medellin, Colombia. He teaches courses in both physics and programming, and he and Professor Landau have collaborated on pathbreaking computational physics investigations. Cristian C. Bordeianu, PhD, taught Physics and Computer Science at the Military College "Stefan cel Mare," Campulung Moldovenesc, Romania.

Dettagli sul prodotto

• Autori: Rubin H. Landau, Manuel J. Páez, Cristian C. Bordeianu, Rubin H Landau, Manuel J Páez, Cristian Bordeianu
• Editore: Wiley-VCH
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 20.03.2024
• Categoria: Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia
• EAN: 9783527414253
• ISBN: 978-3-527-41425-3
• Numero di pagine: 592
• Illustrazioni: 300 SW-Abb.
• Dimensioni (della confezione): 17 x 3 x 24.5 cm
• Peso (della confezione): 1’118 g
• Categorie: Statistik, Chemie, Physik, Informatik, Python (Programmiersprache), Künstliche Intelligenz, Artificial Intelligence, Mathematische Physik, computer science, chemistry, Physics, Computational Chemistry u. Molecular Modeling, Computational Chemistry & Molecular Modeling, Mathematical & Computational Physics, Rechnerunterstützung