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Approximation methods
1996/97. Computer science and Mathematics.
Program:
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numerical solution of linear systems (direct and iterative methods,
conjugate gradient,...).
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One-dimensional boundary value problems.
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Boundary value problems in higher dimensions: Galerkin method, finite
elements, interpolation error, error estimates.
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Elliptic equations: L2 error estimate.
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Parabolic and hyperbolic equations.
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Computational problem: mesh generation, matrix assembly,...
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Adaptive methods for PDEs.
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Numerical optimization: Newton-like methods, simplex method.
References: