https://github.com/andrewnetwork/generatorfunctions
This repository contains research and tools for a paper in progress: "Deriving Sequence Generation Functions via Sequence Derivatives."
https://github.com/andrewnetwork/generatorfunctions
discrete-mathematics generator-functions haskell
Last synced: about 1 year ago
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This repository contains research and tools for a paper in progress: "Deriving Sequence Generation Functions via Sequence Derivatives."
- Host: GitHub
- URL: https://github.com/andrewnetwork/generatorfunctions
- Owner: Andrewnetwork
- License: mit
- Created: 2018-01-23T05:48:29.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-25T05:29:39.000Z (over 8 years ago)
- Last Synced: 2025-02-15T17:51:27.415Z (over 1 year ago)
- Topics: discrete-mathematics, generator-functions, haskell
- Language: Haskell
- Size: 109 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Generator Functions
This repository contains research and tools for a paper in progress: "Deriving Sequence Generation Functions via Sequence Derivatives."
**Work in progress**
Repo organization:
+ Code: haskell implementation of the mathematics.
+ **commonFn.hs** - Common functions used in the codebase.
+ **gen.hs** - An implementation of the generation function learner.
+ **seq.hs** - A bunch of code for creating different types of sequences.
+ **seqFamilies.hs** - An implementation of the sequence group learner.
+ Notebooks: ipython interactive notebooks for exploring the topic.
+ PaperLatex: latex and assorted files for compiling the paper.
+ Tools: web applications for visualizing the numbers and patterns associated with the work.
License: MIT