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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:
  • Introduction to the course and review of PDEs (1 lecture)
  • Basic methods for numerical PDEs:
  • an illustration via a model Poisson Equation (5 lectures)
                   Finite difference method
                   Finite element method
                   Finite volume method
                   Spectral method
                   Approximation and convergence properties
  • More on elliptic equations in general domain (5 weeks)
                   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
  • Parabolic problems (2.5 weeks)
                   Methods of lines
                   Finite difference methods, Stability analysis
                   Fully discrete schemes,
                   Alternating and splitting methods,
                   Explicit-Implicit schemes
  • Hyperbolic/convection dominated problems (2.5 weeks)
                   Basic difference approximations,
                   Upwinding, Dissipation and Dispersion,
                   Stability analysis,
                   Methods for scalar 1d conservation laws, Shocks
                   Methods foe Hamilton-Jacobi equation
  • Schrodinger equation (1 week)
                   Splitting methods
  • Additional topics (1-2 weeks)
                   Fluids, Electromagnetics, Phase Transitions,
                   Optimal Control, Inverse Problems
    No. Date Topics
    01 01/10
    02 01/15
     

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