Introduction to Operations Research

algorithm allocation artificial variables assigned assumed basic feasible solution basic solution coefficients column Consider the following convex corner-point feasible solutions corresponding decision variables demand denote determine dual problem dynamic programming entering basic variable equations Erlang distribution estimate example expected exponential distribution forecast formulation given identify initial basic feasible integer inventory iteration leaving basic variable linear programming model linear programming problem machine mathematical matrix Maximize Maximize Z Minimize minimum mixed strategy node nonbasic variables nonlinear programming nonnegative objective function obtained operations research optimal policy optimal solution parameters period player presented in Sec primal problem Prob probability distribution production profit queueing models queueing system queueing theory random numbers random variable sensitivity analysis servers simplex method simulation slack variables solve steady-state strategy subset Table technique trial solution unit upper bound Wyndor Glass x₁ y₁ zero