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Title of Journal: Algorithmica

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Abbravation: Algorithmica

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Springer US

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DOI

10.1002/chin.199746285

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1432-0541

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The Compressed Annotation Matrix An Efficient Dat

Authors: JeanDaniel Boissonnat Tamal K Dey Clément Maria
Publish Date: 2015/04/18
Volume: 73, Issue: 3, Pages: 607-619
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Abstract

Persistent homology with coefficients in a field mathbb F coincides with the same for cohomology because of duality We propose an implementation of a recently introduced algorithm for persistent cohomology that attaches annotation vectors with the simplices We separate the representation of the simplicial complex from the representation of the cohomology groups and introduce a new data structure for maintaining the annotation matrix which is more compact and reduces substantially the amount of matrix operations In addition we propose a heuristic to simplify further the representation of the cohomology groups and improve both time and space complexities The paper provides a theoretical analysis as well as a detailed experimental study of our implementation and comparison with stateoftheart software for persistent homology and cohomologyThis research is partially supported by the 7th Framework Programme for Research of the European Commission under FETOpen Grant No 255827 CGL Computational Geometry Learning This research is also partially supported by NSF National Science Foundation USA Grants CCF1048983 and CCF1116258


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