tripartite-decompositions
OfficialGF(3)-balanced triplets for parallel workloads.
Authorplurigrid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GF(3)-balanced structured decompositions that split problems into MINUS/ERGODIC/PLUS components with sheaf-theoretic gluing. Ideal for FPT algorithms, skill allocation, or any 3-way parallel workload.
Core Features & Use Cases
- Structured decomposition into three labeled bags with GF(3) conservation.
- Random walk 3-at-a-time decomposition and entropy-aware seeding.
- Adhesions/gluing for consistent problem composition.
- Applications in parallel computation and triplet-based scheduling.
Quick Start
Provide items with trits, run random_walk_3(seed) to produce triplets, and verify GF(3) conservation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tripartite-decompositions Download link: https://github.com/plurigrid/asi/archive/main.zip#tripartite-decompositions Please download this .zip file, extract it, and install it in the .claude/skills/ directory.