Given a polytope and an arbitrary subset of its vertices, the author shows how to construct a differentiable concave function that assumes any arbitrary value (within a specified epsilon -tolerance) at each vertex of the subset, with each vertex in the subset a strong local constrained minimum. The author also shows how this construction method can be used to generate test problems for linearly constrained concave minimization algorithms.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Management Science and Operations Research