Numerical Analysis and Methods (MAGIC029)
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The aim of this course is to introduce students to methods for approximating ODEs and PDEs and the associated numerical analysis. At numerous points there will be reference to standard methods used in Matlab and Maple.
Spring 2010 (Monday, January 11 to Friday, March 19)
No prerequisites information is available yet.
Numerical methods for ODEs (10) Taylor series methods. Runge-Kutta methods. Multi-step methods. Higher order differential equations. Boundary value problems: shooting methods, finite difference methods, collocation. Methods for conservative and stiff problems. Numerical methods for PDEs (10) Finite difference methods for elliptic equations, parabolic equations, explicit, implicit and the Crank-Nicolson methods. The Galerkin method and finite element methods.
No bibliography has been specified for this course.
No assessment information is available yet.
No assignments have been set for this course.
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