Ripserer.jl: flexible and efficient persistent homology computation in Julia

Julia Submitted 26 August 2020Published 19 October 2020
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Editor: @VivianePons (all papers)
Reviewers: @juliohm (all reviews), @sauln (all reviews)

Authors

Matija Čufar

Citation

Čufar, M., (2020). Ripserer.jl: flexible and efficient persistent homology computation in Julia. Journal of Open Source Software, 5(54), 2614, https://doi.org/10.21105/joss.02614

@article{Čufar2020, doi = {10.21105/joss.02614}, url = {https://doi.org/10.21105/joss.02614}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {54}, pages = {2614}, author = {Matija Čufar}, title = {Ripserer.jl: flexible and efficient persistent homology computation in Julia}, journal = {Journal of Open Source Software} }
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Persistent Homology Topological Data Analysis

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ISSN 2475-9066