HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Reports

The Gudhi Library: Simplicial Complexes and Persistent Homology

Clément Maria 1 Jean-Daniel Boissonnat 1 Marc Glisse 1 Mariette Yvinec 1
1 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
Abstract : We present the main algorithmic and design choices that have been made to represent complexes and compute persistent homology in the Gudhi library. The Gudhi library (Geometric Understanding in Higher Dimensions) is a generic C++ library for computational topology. Its goal is to provide robust, efficient, flexible and easy to use implementations of state-of-the-art algorithms and data structures for computational topology. We present the different components of the software, their interaction and the user interface. We justify the algorithmic and design decisions made in Gudhi and provide benchmarks for the code. The software, which has been developed by the first author, is available at project.inria.fr/gudhi/software/
Document type :
Reports
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-01005601
Contributor : Clément Maria Connect in order to contact the contributor
Submitted on : Tuesday, June 17, 2014 - 6:45:39 PM
Last modification on : Friday, January 21, 2022 - 3:10:56 AM
Long-term archiving on: : Wednesday, September 17, 2014 - 11:41:08 AM

File

RR-8548.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01005601, version 2

Collections

Citation

Clément Maria, Jean-Daniel Boissonnat, Marc Glisse, Mariette Yvinec. The Gudhi Library: Simplicial Complexes and Persistent Homology. [Research Report] RR-8548, INRIA. 2014. ⟨hal-01005601v2⟩

Share

Metrics

Record views

462

Files downloads

2337