| In this paper, we develop a simplicial branch-and-bound algorithm with two-phase bounding operation for solving a class of concave minimization problems to which many of problems with low rank nonconvexity reduce. In the first phase of the bounding operation, we enlarge the feasible set of each linear programming relaxed problem to facilitate application of some procedures for improving the efficiency. In the second phase, we tighten the lower bound deteriorated by this enlargement, using a Lagrangian relaxation. Computational results indicate that the proposed algorithm is promising, compared with a standard simplicial branch-and-bound algorithm. |
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