LowWAFOMSobol

Low WAFOM Sobol Sequence

https://github.com/mersennetwister-lab/lowwafomsobol

Science Score: 20.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Low WAFOM Sobol Sequence

Basic Info
  • Host: GitHub
  • Owner: MersenneTwister-Lab
  • License: other
  • Language: C++
  • Default Branch: master
  • Size: 49.5 MB
Statistics
  • Stars: 1
  • Watchers: 5
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created about 9 years ago · Last pushed over 8 years ago
Metadata Files
Readme License

README.md

R package: Low WAFOM Sequences based on Sobol Sequences

Low WAFOM Sequences based on Sobol sequences are searched using an algorithm described in Shinsuke Mori's Master's thesis.

Caution

Currently, this project is very experimental.

Link

Reference

  • Shinsuke Mori, "Suuchi Sekibun no tameno QMC Ten Shuugou no Sekkei, Tansaku, oyobi sono Yuukousei", Master's Thesis, 2017.
  • Ryuichi Ohori, "Efficient Quasi Monte Carlo Integration by Adjusting the Derivation-sensitivity Parameter of Walsh Figure of Merit", Master's Thesis, 2015.
  • S. Harase and R. Ohori, "A search for extensible low-WAFOM point sets", arXiv preprint, arXiv:1309.7828, (2013), https://arxiv.org/abs/1309.7828.
  • M. Matsumoto and R. Ohori, "Walsh Figure of Merit for Digital Nets: An Easy Measure for Higher Order Convergent QMC", Springer International Publishing, Cham, 2016, pp. 143-160.
  • M. Matsumoto, M. Saito, and K. Matoba, "A computable figure of merit for quasi-Monte Carlo point sets", Mathematics of Computation, 83 (2014), pp. 1233-1250.
  • S. Joe and F. Y. Kuo, "Constructing Sobol sequences with better two-dimensional projections", SIAM J. Sci. Comput. 30, 2635-2654 (2008).

Owner

  • Name: MersenneTwister-Lab
  • Login: MersenneTwister-Lab
  • Kind: organization

GitHub Events

Total
  • Watch event: 1
  • Fork event: 1
Last Year
  • Watch event: 1
  • Fork event: 1

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 8
  • Total Committers: 2
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.125
Top Committers
Name Email Commits
saito s****o@m****m 7
MSaito s****o@m****p 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 207 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: LowWAFOMSobol

Low WAFOM Sobol Sequence

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 207 Last month
Rankings
Forks count: 17.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 37.9%
Downloads: 71.1%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • RSQLite >= 2.0 imports
  • Rcpp >= 0.12.9 imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests