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Module MA3469: Practical Numerical Simulations
- Credit weighting (ECTS)
- 5 credits
- Semester/term taught
- Michaelmas term 2015-16
- Contact Hours
- 11 weeks, 3 lectures including tutorials per week
- Lecturer Professor Mike Peardon
- Learning Outcomes
- On successful completion of this module, students will be able to:
- Write and compile numerical software in C++
- Find an appropriate numerical technique to solve common problems in applied mathematics and theoretical physics and to recognise its limitations.
- Construct numerical solutions to mathematical and physical problems in C++
- Describe the output of their numerical software and interpret results reliably.
- Module Content
- The module aims to introduce the C++ programming language and object-oriented software concepts by getting students to construct numerical solutions to common problems in applied mathematics and theoretical physics.
- C++:
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- Language basics: the compiler, variables, functions.
- Conditions and loops.
- Arrays, pointers and references
- C++ classes
- Numerical analysis:
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- Ordinary differential equations - solving initial-value problems with Euler and Runge-Kutta methods.
- Ordinary differential equations - boundary-value problems and the shooting method.
- Hamiltonian dynamics - symplectic integrators and the leap-frog method.
- Partial differential equations - solving the 2d Laplace equation using simple iterative schemes (Jacobi, Gauss-Seidel and SOR) with Dirichlet and Von Neumann boundary data.
- Introduction to Monte Carlo methods in statistical physics.
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- Module Prerequisite
- MA1241 Mechanics I, and either MA2326 Ordinary Differential Equations or MA2332 Equations of Mathematical Physics II
- Assessment Detail
- This module will be examined in a 2 hour examination in Trinity term (60%). Four continuous assessment assignments will contribute 40% to the final grade for the module at the annual
examination session.
Supplemental if required will consist of 100% exam.