Material Detail

22.15 Essential Numerical Methods | Nuclear Science and Engineering

This half-semester course introduces computational methods for solving physical problems, especially in nuclear applications. The course covers ordinary and partial differential equations for particle orbit, and fluid, field, and particle conservation problems; their representation and solution by finite difference numerical approximations; iterative matrix inversion methods; stability, convergence, accuracy and statistics; and particle representations of Boltzmann's equation and methods of solution such as Monte-Carlo and particle-in-cell techniques.

Keywords:: numerical methods, Nuclear Engineering, Computational Modeling and Simulation, approximation, Numerical Simulation, computational methods, Differential Equations, MATLAB, differential equations, numerical analysis, Octave, iteration, finite difference

Disciplines:

Science and Technology / Engineering / Nuclear Engineering

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More about this material

Material Type:: Online Course
Date Added to MERLOT:: May 12, 2016
Date Modified in MERLOT:: May 12, 2016
Author:: Unknown (Know the author?)
Submitter:: Barbra Bied Sperling

Primary Audience:: Graduate School
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States