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Computing Simplicial Homology Based on Efficient Smith Normal Form Algorithms
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“We recall (see [22]) that the homology computation can be performed by putting a matrix in Smith normal form.”
From Topology and data (2009) · cites this paper as [22]
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References 40 · Cited by 61
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Metadata
- Authors
- Dumas, J.-G., Heckenbach, F., Saunders, D., & Welker, V.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University of Delaware (US)
- Philipps University of Marburg (DE)
- Venue
- Algebra, Geometry and Software Systems
- Publisher
- Springer Berlin Heidelberg
- Published
- 2003
- Pages
- 177-206
- OpenAlex
- W1941645695
- Cited by
- 61
- References
- 40
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 1 · 2022: 2 · 2020: 2 · 2019: 4 · 2018: 3 · 2016: 4 · 2015: 1 · 2014: 5 · 2013: 5 · 2012: 4
- FWCI
- 5.58
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Polynomial and algebraic computation
- Physical Sciences › Mathematics › Mathematical Physics › Homotopy and Cohomology in Algebraic Topology
- Keywords
- simplicial homology, Smith normal form, sparse matrices, simplicial complexes, integer coefficients, GAP package, Lie algebra homology, computational algebra
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