Classification of Doubly-Even Linear Binary Codes: An Analysis of the SageMath Implementation
2023
- 135Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage135
- Downloads104
- Abstract Views31
Artifact Description
Classification of doubly-even linear binary codes involves finding and enumerating permutation equivalence classes of subspaces of the vector space F2_n . This project provides an analysis and explanation of the SageMath functions written by Robert Miller that implement the algorithm used for generating these codes.
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