
Computational Nuclear Engineering and Radiological Science Using Python
Resources
Description
Key Features
- Offers numerical methods as a tool to solve specific problems in nuclear engineering
- Provides examples on how to simulate different problems and produce graphs using Python
- Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems
Readership
Nuclear engineers, scientists and engineers working in radiological sciences, graduate students in nuclear sciences
Table of Contents
Part I Introduction to Python
1. Getting Started in Python
2. Digging Deeper into Python
3. Functions, Scoping, and Other Fun Stuff
4. NumPy and Matplotlib
5. Dictionaries and Functions as Arguments
6. Testing and DebuggingPart II Numerical Methods
7. Gaussian Elimination
8. LU Factorization and Banded Matrices
9. Iterative Methods for Linear Systems
10. Interpolation
11. Curve Fitting
12. Closed Root Finding Methods
13. Newton’s Methods and Related Root-Finding Techniques
14. Finite Difference Derivative Approximations
15. Numerical Integration with Newton-Cotes Formulas
16. Gauss Quadrature and Multi-dimensional Integrals
17. Initial Value Problems
18. One-Group Diffusion Equation
19. One-Group k-Eigenvalue Problems
20. Two-Group k-Eigenvalue ProblemsPart III Monte Carlo Methods
21. Introduction to Monte Carlo Methods
22. Non-analog and Other Monte Carlo Variance Reduction Techniques
23. Monte Carlo Eigenvalue CalculationsPart IV Appendices
Appendix A. Installing and Running Python
Appendix B. Jupyter Notebooks
Product details
- No. of pages: 460
- Language: English
- Copyright: © Academic Press 2017
- Published: October 19, 2017
- Imprint: Academic Press
- Paperback ISBN: 9780128122532
- eBook ISBN: 9780128123713
About the Author
Ryan McClarren
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
RyanMcClarren Mon Mar 30 2020
A great way to learn
A great way to learn numerical techniques and Python with practical nuclear engineering examples.
Jose R. Sat Jan 18 2020
Computational nuclear engineering and radiological science
Good practical book to learn the basics of computational maths and it's implementation. It is like a practical seminar session with hands on. This is the differential value of the book versus more theoretical ones.
GERMANGARCIA Sat Dec 08 2018
Great book. Highly recommended
Great book. Highly recommended