Search for dissertations about: "convergence order"
Showing result 1 - 5 of 284 swedish dissertations containing the words convergence order.
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1. Selected Topics in Homogenization
Abstract : The main focus of the present thesis is on the homogenization of some selected elliptic and parabolic problems. More precisely, we homogenize: non-periodic linear elliptic problems in two dimensions exhibiting a homothetic scaling property; two types of evolution-multiscale linear parabolic problems, one having two spatial and two temporal microscopic scales where the latter ones are given in terms of a two-parameter family, and one having two spatial and three temporal microscopic scales that are fixed power functions; and, finally, evolution-multiscale monotone parabolic problems with one spatial and an arbitrary number of temporal microscopic scales that are not restricted to be given in terms of power functions. READ MORE
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2. A tale of trees and leaves : subtrees and local convergence
Abstract : Given a tree T, a subtree in T is a subgraph that is a tree itself. The set of subtrees in a tree is related to many important graph parameters, one of which is the mean subtree order. READ MORE
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3. On Specifying and Estimating Economic Growth as a Spatial Process : Convergence, Inequality, and Migration
Abstract : This thesis includes three self-contained papers. The first paper considers the effect of geographically dependent observations on cross-sectional growth convergence and proposes a way of decomposing the level of technology taking into account geographical variation in growth rates. READ MORE
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4. Discretizations of nonlinear dissipative evolution equations. Order and convergence
Abstract : The theme of this thesis is to study discretizations of nonlinear dissipative evolution equations, which arise in e.g. advection-diffusion-reaction processes. READ MORE
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5. Accelerating Convergence of Large-scale Optimization Algorithms
Abstract : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. READ MORE