Computing Topological Persistence for Simplicial Maps
Author:
Affiliation:
1. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2582112.2582165
Reference26 articles.
1. Efficient data structure for representing and simplifying simplicial complexes in high dimensions
2. The Compressed Annotation Matrix: An Efficient Data Structure for Computing Persistent Cohomology
3. Topological Persistence for Circle-Valued Maps
4. Annotating Simplices with a Homology Basis and Its Applications
5. Topology and data
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