spanning based on a greedy algorithm and Linear Programming. We show the optimal recovery of the sparse solution asymptotically …

‐quotient. We extend this result in two ways. First, we apply the greedy algorithm to an inner independence system contained in ℐ …‐quotient that yields a tight bound on the worst‐case performance of the greedy algorithm applied to the inner independence system … approximation may outperform not only the standard greedy algorithm but also the inner matroid approximation proposed by Milgrom …

structure of the iterated greedy algorithm and additionally use a refinement function in which they differ. In a computational …

it with a widely practiced greedy algorithm through experiments. We find that our optimal algorithm is robust in most … cases and the greedy algorithm is efficient when variability in production efficiencies is high. This result can guide us to ….g., new employees and/or new products assembly, the greedy algorithm is efficient. For other cases, our optimal algorithm …