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Description
Contribution Summary
Per the contribution guidelines, I am submitting 10 non-trivial reduction rules for authorship consideration.
Problem Models Filed (4)
| Issue | Problem | Category |
|---|---|---|
| #108 | LongestCommonSubsequence | String/Sequence |
| #114 | Knapsack | Optimization |
| #117 | GraphPartitioning | Graph |
| #122 | SteinerTree | Network Design |
Reduction Rules Filed (10)
| Issue | Source → Target | Domain Crossing |
|---|---|---|
| #109 | LCS → MaximumIndependentSet | String → Graph |
| #110 | LCS → ILP | String → Algebraic |
| #126 | KSatisfiability → SubsetSum | Formula → Number Theory |
| #116 | Knapsack → QUBO | Optimization → Algebraic |
| #125 | Knapsack → ClosestVectorProblem | Optimization → Lattice Theory |
| #118 | GraphPartitioning → ILP | Graph → Algebraic |
| #119 | GraphPartitioning → QUBO | Graph → Algebraic |
| #120 | GraphPartitioning → MaxCut | Graph → Graph (constrained → unconstrained) |
| #121 | GraphPartitioning → SpinGlass | Graph → Physics |
| #123 | SteinerTree → ILP | Network → Algebraic |
Highlights
- Cross-domain reductions: KSatisfiability → SubsetSum (Karp's original, S-tier) and Knapsack → CVP (Lagarias-Odlyzko, S-tier) bridge fundamentally different mathematical domains
- New graph topology: GraphPartitioning → MaxCut creates a new path into the MaxCut node; SubsetSum gets its first incoming edge
- Industrial relevance: GraphPartitioning (VLSI, parallel computing), SteinerTree (network design), Knapsack (resource allocation)
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