Computing Connection Matrices via Persistence-Like Reductions-Reference-Cited by-同舟云学术

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Computing Connection Matrices via Persistence-Like Reductions

Published:2024-01-04 Issue:1 Volume:23 Page:81-97
ISSN:1536-0040
Container-title:SIAM Journal on Applied Dynamical Systems
language:en
Short-container-title:SIAM J. Appl. Dyn. Syst.

Author:

Dey Tamal K.¹^ORCID,Lipiński Michał²,Mrozek Marian³,Slechta Ryan⁴

Affiliation:

1. Department of Computer Science, Purdue University, West Lafayette, IN 47907 USA.

2. Dioscuri Centre in TDA, Institute of Mathematics, Polish Academy of Sciences, Warsaw, Poland, and Division of Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland.

3. Division of Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland.

4. Innovation Partnership, University of Michigan, Ann Arbor, MI 48109 USA.

Funder

Division of Computing and Communication Foundations

Division of Mathematical Sciences

Narodowe Centrum Nauki

International Max Planck Research School for Advanced Methods in Process and Systems Engineering

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference23 articles.

1. Clear and Compress: Computing Persistent Homology in Chunks

2. Isolated Invariant Sets and the Morse Index

3. Dualities in persistent (co)homology

4. Persistent Homology of Morse Decompositions in Combinatorial Dynamics

5. Persistence of Conley--Morse Graphs in Combinatorial Dynamical Systems

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