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MATH 552 Numerical Solution of PDEs Spring 2013 Course Outline and Tentative schedule Many well-known and widely used mathematical models of interesting and important scientific and engineering problems are formulated as partial differential equations. These models, due to their enormous complexity and possible singularity in their solutions, are often challenging problems to be solved numerically. This course will address both the analytical and the computational aspects of the subject. While offering an overview to various popular methods and well established theory, the students will also get a hands-on experience in through the solution of some models problems by themselves. A tentative outline is as follows: Finite difference method Finite element method Finite volume method Spectral method Approximation and convergence properties Fundamental theory, maximal principle, Variational principle, regularity Structured and unstructured meshing Basic finite difference schemes, boundary treatments Discrete maximal principle and M-matrices Convergence and Error estimates Finite element spaces and basic error estimates Conforming finite element method, More general finite element methods Finite volume and co-volume methods Problems in exterior and infinite domain Artificial boundary conditions Boundary integral and boundary element methods Methods for solving the discrete systems Domain decomposition and parallel algorithms Nonlinear variational problems Methods of lines Finite difference methods, Stability analysis Fully discrete schemes, Alternating and splitting methods, Explicit-Implicit schemes Basic difference approximations, Upwinding, Dissipation and Dispersion, Stability analysis, Methods for scalar 1d conservation laws, Shocks Methods foe Hamilton-Jacobi equation Splitting methods Fluids, Electromagnetics, Phase Transitions, Optimal Control, Inverse Problems
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