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OVERVIEW OF THE OPERATIONS RESEARCH
INTRODUCTION TO LINEAR PROGRAMMING
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algorithm apply automatic routine basic solution calculate changes coefficients column concave function Consider the following constraint boundary convex corresponding cost Courseware CPF solution decision variables dual problem dynamic programming entering basic variable equations estimate example exponential distribution feasible region feasible solutions following problem forecast formulation functional constraints Gaussian elimination given identify initial BF solution integer IP problem iteration leaving basic variable linear programming model linear programming problem LP relaxation Markov chain matrix Maximize Minimize mixed strategy node nonbasic variables nonlinear programming nonnegative number of customers objective function obtained optimal policy optimal solution parameters player presented in Sec primal problem Prob probability distribution procedure profit queueing models queueing system queueing theory random numbers resulting sensitivity analysis servers simplex method simulation slack variables solve strategy subproblem tion transportation problem trial solution unit Wyndor Glass zero