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 ...
This paper presents three algorithms for solving linear programming problems in which some or all of the objective function coefficients are specified in terms of intervals. Which algorithm is ...
Constrained minimization problems are formulated from a quasilinear parabolic boundary value problem (possibly with nonlinear boundary conditions), making use of the ...
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