Asi structured-decomp
StructuredDecompositions.jl: Sheaves on tree decompositions for FPT algorithms
install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/ies/music-topos/.agents/skills/structured-decomp" ~/.claude/skills/plurigrid-asi-structured-decomp && rm -rf "$T"
manifest:
ies/music-topos/.agents/skills/structured-decomp/SKILL.mdsource content
Structured Decompositions Skill
Core Concepts
StrDecomp = Functor
d: ∫G → C where:
- ∫G = category of elements of shape graph
- C = target category (Graph, FinSet, etc.)
using StructuredDecompositions # Create decomposition from graph d = StrDecomp(graph) # Access components bags(d) # Local substructures adhesions(d) # Overlaps adhesionSpans(d) # Span morphisms
The 𝐃 Functor
Lifts decision problems to decomposition space:
# Define problem as functor k_coloring(G) = homomorphisms(G, K_k) # Lift and solve solution = 𝐃(k_coloring, decomp, CoDecomposition) (answer, _) = decide_sheaf_tree_shape(k_coloring, decomp)
FPT Complexity
Runtime: O(f(width) × n) where width = max adhesion size
GF(3) Triads
dmd-spectral (-1) ⊗ structured-decomp (0) ⊗ koopman-generator (+1) = 0 ✓ sheaf-cohomology (-1) ⊗ structured-decomp (0) ⊗ colimit-reconstruct (+1) = 0 ✓
References
- Bumpus et al. arXiv:2207.06091
- algebraicjulia.github.io/StructuredDecompositions.jl