Computational nuclear engineering and radiological science using Python. (2017)

• Record Type: Book
• Further Information: Note: Ryan McClarren.
• Authors: McClarren, Ryan
• 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 Debugging Part 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 Problems Part III Monte Carlo Methods 21. Introduction to Monte Carlo Methods 22. Non-analog and Other Monte Carlo Variance Reduction Techniques 23. Monte Carlo Eigenvalue Calculations Part IV Appendices Appendix A. Installing and Running Python Appendix B. Jupyter Notebooks
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 621.48028553; Nuclear engineering -- Computer programs; Radiography -- Computer programs; Nuclear engineering -- Data processing; Radiography -- Data processsing; Python (Computer program language)
• Languages: English
• ISBNs: 9780128123713
• Related ISBNs: 9780128122532
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.