Additive approximation for generalized Turán problems is NP-hard
NP-hardness of additive approximation for generalized Turán problems
Summary
This paper studies a problem in graph theory where you want to find the largest subgraph of a given graph without certain forbidden patterns, while counting specific smaller subgraphs inside it. The authors show that approximating this count closely is computationally very hard (NP-hard) for a wide range of cases involving bipartite graphs and cliques. They confirm a previous conjecture about the difficulty of this problem by building complex reductions based on coloring properties of graphs. Essentially, it means no efficient algorithm can guarantee near-exact solutions for these problems unless a major breakthrough in computer science occurs.
What this means in practice
- •For algorithm designers: Use this hardness result to understand limits of efficient approximation algorithms for network substructure optimization tasks involving forbidden patterns.
- •For graph software developers: Avoid investing in near-exact additive approximation algorithms for generalized Turán problems on bipartite or clique subgraphs, focusing instead on heuristics or special cases.
A theory result. No direct application yet.