Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Fixed-Parameter Tractability and Completeness I: Basic Results
SIAM Journal on Computing
Structure in Approximation Classes
SIAM Journal on Computing
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Combinatorial Optimization: Theory and Algorithms
Combinatorial Optimization: Theory and Algorithms
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The maximum intersection problem for a matroid and a greedoid, given by polynomial-time oracles, is shown NP-hard by expressing the satisfiability of boolean formulas in 3-conjunctive normal form as such an intersection. The corresponding approximation problems are shown NP-hard for certain approximation performance bounds. Moreover, some natural parameterized variants of the problem are shown W[P]-hard. The results are in contrast with the maximum matroid-matroid intersection which is solvable in polynomial time by an old result of Edmonds. We also prove that it is NP-hard to approximate the weighted greedoid maximization within 2^n^^^O^^^(^^^1^^^) where n is the size of the domain of the greedoid.