The Journal of the Operational Research Society, Vol. 64, No. 10 (OCTOBER 2013), pp. 1557-1569 (13 pages) The common difficulty in solving a Binary Linear Programming (BLP) problem is uncertainties in ...

In linear programming problems, as in most economic problems, the input data are often uncertain. So we haven't finished when we've obtained the optimal solution; we still need to ask, how would this ...

Results of this study raise serious questions concerning the reliability of a widely used commercial linear programming package. Three versions of IBM linear programming software were considered in ...

A routine written in IML to solve this problem follows. The approach appends slack, surplus, and artificial variables to the model where needed. It then solves phase 1 to find a primal feasible ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...