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King Abdullah University of Science and Technology
Advanced Algorithm and Numerical Simulations Laboratory
Advanced Algorithm and Numerical Simulations Laboratory

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Finite difference methods for differential equations, AMCS 252: The course covers theory and algorithms for the numerical solution of ordinary differential equations (ODEs) and of partial differential equations (PDEs) of parabolic, hyperbolic, and elliptic type. Theoretical concepts include: accuracy zero-stability absolute stability convergence order of accuracy stiffness conservation CFL condition Algorithms covered include: finite differences steady and unsteady discretization in one and two dimensions Newton methods Runge-Kutta methods linear multistep methods multigrid implicit methods

Advanced Algorithm and Numerical Simulations Laboratory (AANSLab)

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