Some topics: finite difference methods, finite element methods, multi grid methods, adaptive methods.
Some applications:
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elliptic problems (e.g. diffusion)
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parabolic problems (e.g. time-dependent diffusion)
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hyperbolic problems (e.g. convection)
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systems and nonlinear problems (conservation laws).
Goal: To understand and use basic methods and theory for numerical solution of partial differential equations, which includes that the student after the course can:
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formulate and prove Lax-Milgrams theorem,
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formulate, analyze and use multigrid methods,
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prove a posteriori and a priori error estimates for elliptic partial differential equations,
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prove interpolation error estimates,
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formulate and use finite element and finite difference methods for partial differential equations,
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formulate and prove Lax equivalence theorem,
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use Lax equivalence theorem to analyze finite difference methods,
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formulate and use adaptive numerical methods for partial differential equations,
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formulate and use symplectic numerical methods for Hamiltonian systems.