Essential numerical methods
Master
In Maynard (USA)
Description
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Type
Master
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Location
Maynard (USA)
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Start date
Different dates available
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.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Computational
Course programme
This course meets for the first half of the semester.
Lectures: 2 sessions / week, 1.5 hours / session
Recitations: 1 session / week, 0.5 hour / session
Final exam period is 3 hours long.
12.010 Computational Methods of Scientific Programming or permission of instructor.
Students who complete this module will
The homework evaluation will count only the best five assignment scores. However, it should be noted that some exercises build on earlier ones. Therefore students should recognize that it is not generally possible simply to omit early assignments. Moreover, the exercises are designed to develop understanding and skill with the material that will be valuable for the final exam.
Detailed lecture notes are provided.
Students who lack specific mathematics or science background in the areas discussed may be advised to supplement the lectures with extra reading.
Smith, G. D. Numerical Solution of Partial Differential Equations. Clarendon Press, 1965.
Forsythe, George E., and Wolfgang R. Wasow. Finite Difference Methods for Partial Differential Equations. Literary Licensing, 2013. ISBN: 9781258664152.
Mitchell, A. R., and D. F. Griffiths. The Finite Difference Method in Partial Differential Equations. Wiley-Blackwell, 1980. ISBN: 9780471276418.
Exercise 3 out
Exercise 1 due
Exercise 4 out
Exercise 2 due
Exercise 5 out
Exercise 3 due
Exercise 6 out
Exercise 4 due
Exercise 7 out
Exercise 5 due
Exercise 8 out
Exercise 6 due
Exercise 9 out
Exercise 7 due
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Essential numerical methods