Sökning: "convergence order"

Visar resultat 1 - 5 av 296 avhandlingar innehållade orden convergence order.

1. 1. Selected Topics in Homogenization

   Författare :Jens Persson; Anders Holmbom; Liselott Flodén; Marianne Olsson Lindberg; Mårten Gulliksson; Peter Wall; Mittuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; homogenization theory; H-convergence; two-scale convergence; very weak two-scale convergence; multiscale convergence; very weak multiscale convergence; evolution-multiscale convergence; very weak evolution-multiscale convergence; λ-scale convergence; non-periodic linear elliptic problems; evolution-multiscale linear parabolic problems; evolution-multiscale monotone parabolic problems; detection of scales of heterogeneity;

   Sammanfattning : 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. LÄS MER

3. 2. A tale of trees and leaves : subtrees and local convergence

   Författare :Wang Ruoyu; Stephan Wagner; Haslegrave John; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; tree; subtree; mean subtree order; Benjamini Schramm convergence; local convergence; Mathematics; Matematik;

   Sammanfattning : 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. LÄS MER

4. 3. On Specifying and Estimating Economic Growth as a Spatial Process : Convergence, Inequality, and Migration

   Författare :Martin E. Gustafsson; Roger Bivand; Uppsala universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Social and economic geography; Economic geography; economic growth; regional convergence; migration; spatial statistics; spatially correlated errors; geographical dependence; Kulturgeografi; Human geography; Kulturgeografi; kulturgeografi; Social and Economic Geography;

   Sammanfattning : 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. LÄS MER

5. 4. Discretizations of nonlinear dissipative evolution equations. Order and convergence

   Författare :Eskil Hansen; Numerisk analys; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; kontroll; systems; numerisk analys; control; Datalogi; numerical analysis; Computer science; B-convergence; Dissipative maps; Logarithmic Lipschitz constants; Galerkin methods; Nonlinear evolution equations; Time discretizations; system;

   Sammanfattning : The theme of this thesis is to study discretizations of nonlinear dissipative evolution equations, which arise in e.g. advection-diffusion-reaction processes. LÄS MER

7. 5. Accelerating Convergence of Large-scale Optimization Algorithms

   Författare :Euhanna Ghadimi; Mikael Johansson; Angelia Nedich; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Convex optimization; Large-scale systems; First-order methods; Convergence analysis; ADMM; Optimization algorithms; Electrical Engineering; Elektro- och systemteknik; Matematik; Mathematics;

   Sammanfattning : 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. LÄS MER