Computational Nuclear Engineering and Radiological Science Using Python - Brossura

McClarren, Ryan

Brossura

ISBN 10: 0128122536 ISBN 13: 9780128122532

Casa editrice: Academic Press, 2017

Riassunto

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering.

Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques.

For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering.

Su questo libro

Informazioni sull?autore

Ryan McClarren is Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He has spent his professional career educating students in the mathematics and computation required for modern engineering. His research centers around the study of uncertainties in large-scale simulation, and numerical methods for radiation transport problems. Additionally, he is the author of 44 publications in refereed journals and has been the editor of a special issue of the journal Transport Theory and Statistical Physics. He is well known in the computational nuclear engineering community and has research awards and grants from the NSF, DOE, and three national labs.

Dettagli dell'edizione

• Editore: Academic Press
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 0128122536
• ISBN 13: 9780128122532
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 460
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile