Search for dissertations about: "Convergence of numerical methods"
Showing result 1 - 5 of 143 swedish dissertations containing the words Convergence of numerical methods.
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1. Numerical Complexity Analysis of Weak Approximation of Stochastic Differential Equations
Abstract : The thesis consists of four papers on numerical complexityanalysis of weak approximation of ordinary and partialstochastic differential equations, including illustrativenumerical examples. Here by numerical complexity we mean thecomputational work needed by a numerical method to solve aproblem with a given accuracy. READ MORE
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2. Numerical Methods for Wave Propagation : Analysis and Applications in Quantum Dynamics
Abstract : We study numerical methods for time-dependent partial differential equations describing wave propagation, primarily applied to problems in quantum dynamics governed by the time-dependent Schrödinger equation (TDSE). We consider both methods for spatial approximation and for time stepping. READ MORE
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3. Accuracy and Convergence Studies of the Numerical Solution of Compressible Flow Problems
Abstract : The numerical solution of compressible flow problems governed by the Navier-Stokes equations is considered. A finite volume method is used for the discretization in space. Different techniques to accelerate the convergence to a steady state are suggested, and the accuracy of the spatial difference operator is analyzed. READ MORE
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4. Conditional Subgradient Methods and Ergodic Convergence in Nonsmooth Optimization
Abstract : The topic of the thesis is subgradient optimization methods in convex, nonsmooth optimization. These methods are frequently used, especially in the context of Lagrangean relaxation of large scale mathematical programs where they are remarkably often able to quickly identify near-optimal Lagrangean dual solutions. READ MORE
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5. Uncertainty Quantification and Numerical Methods for Conservation Laws
Abstract : Conservation laws with uncertain initial and boundary conditions are approximated using a generalized polynomial chaos expansion approach where the solution is represented as a generalized Fourier series of stochastic basis functions, e.g. orthogonal polynomials or wavelets. READ MORE