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Dirks, Carolin Maria ; Rossmanith, Carolin Maria: Numerical methods for transportation networks. 2019
Inhalt
Introduction
Mathematical preliminaries
Basic notation
Functions of bounded variation
-convergence and equi-coercivity
The Mumford–Shah image segmentation problem
Phase field approximation of the Mumford–Shah functional
Functional lifting of Mumford–Shah-type problems
Adaptive finite elements for functional lifting problems
Triangular prism finite elements
Finite element function spaces
Review of methods for transportation network problems
Optimal transport and transport networks - A brief overview
Branched transport
Eulerian formulation
Lagrangian formulation
Urban planning
Wasserstein formulation
Eulerian formulation
Lagrangian formulation
Generalized urban planning
Existence and properties of minimizers
Numerical approaches
Branching point optimization
Phase field approximations
Time-dependent PDE-based methods
Discussion
Numerical optimization of transportation networks via functional lifting
Model
Reformulation as image inpainting problems in two dimensions
Functional lifting of the branched transport and urban planning energy
Analysis
Original formulation versus convexification
Reduction of the set K for piecewise constant functions
Numerical optimization with finite differences
Discretization
Algorithm
Convergence of the algorithm
Results
Discussion
Numerical optimization with finite elements on adaptive triangular prism grids
Discretization
Algorithm
Projection onto Kh
Refinement criteria
Results
Uniform versus adaptive grid
Comparison of different refinement strategies
Discussion
A phase field approximation approach
Model
Analysis
Existence of a minimizer
-convergence and equi-coercivity
Numerical optimization
Discretization
Optimization
Discrete -convergence
Results
Phase field locking
Discussion and outlook
Conclusion and outlook
Appendices
Construction of a vector field
Bibliography