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1
Intro
2
Curvature Flow on Graphs
3
Grain Growth
4
Outline
5
Embedded Graph
6
Existence and Uniqueness
7
Computational Results
8
Graph Representation
9
Tree of Swatches
10
Swatch Types
11
Distance on Swatches
12
Distance on Cell Complexes
13
Benjamin Schwamm Graph Limit
14
More on Benjamin Schramm Graph Limits
15
Steady State Hypothesis, Formalized
16
Computational Evidence
17
Presentation Outine
Description:
Explore statistical topology of random cell complexes and their applications in this 59-minute lecture by Benjamin Schweinhart. Delve into topics such as curvature flow on graphs, grain growth, and embedded graphs. Learn about existence and uniqueness in computational results, graph representation, and the tree of swatches. Examine swatch types, distances on swatches and cell complexes, and gain insights into Benjamin Schramm graph limits. Investigate the steady state hypothesis and its computational evidence. This comprehensive presentation, organized by the Applied Algebraic Topology Network, offers a deep dive into the intersection of statistical topology and random structures, providing valuable knowledge for researchers and students in the field.

Benjamin Schweinhart - Statistical Topology of Random Cell Complexes, and Applications

Applied Algebraic Topology Network
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