Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: snisimu
  • License: other
  • Language: Haskell
  • Default Branch: main
  • Size: 20 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

ApproximateAtMostK

Software materials for the paper "Approximate-At-Most-k Encoding of SAT for Soft Constraints."

You can try them with Codespaces.

Conventional encodings are based on "SAT Encodings of the At-Most-k Constraint Some Old, Some New, Some Fast, Some Slow"

Owner

  • Name: Shunji Nishimura
  • Login: snisimu
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Nishimura"
  given-names: "Shunji"
  orcid: "https://orcid.org/0000-0001-6600-5136"
title: "Repository for Approximate-At-Most-k Encoding for SAT"
version: 1.0.0
date-released: 2023-04-29
url: "https://github.com/snisimu/ApproximateAtMostK"

GitHub Events

Total
  • Member event: 2
  • Push event: 1
Last Year
  • Member event: 2
  • Push event: 1

Dependencies

.devcontainer/Dockerfile docker
  • mcr.microsoft.com/vscode/devcontainers/base 0-${VARIANT} build
ApproximateAtMostK.cabal hackage
  • base >=4.7 && <5
  • directory *
  • extra *
  • filepath *
  • process *
  • random *
  • strict *