tripartite-decompositions

Official

GF(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 required

Components

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.
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