Introduction to Operations Research |
Contents
Introduction | 2 |
MATHEMATICAL PROGRAMMING | 15 |
The Theory of Linear Programming | 68 |
Copyright | |
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algorithm allocation assigned assumed b₁ b₂ basic feasible solution basic solution coefficients column components concave function Consider constraints convex corner-point feasible solution corresponding decision variables defined demand denote density function described in Sec determine dual problem dynamic programming entering basic variable equations Erlang distribution estimate example expected exponential distribution formulation given integer inventory leaving basic variable linear programming model linear programming problem machine Markov chain mathematical matrix Maximize Maximize Z Minimize mixed strategy node nonbasic variables nonnegative objective function obtained operations research optimal policy optimal solution parameters payoff period player Poisson presented in Sec primal problem Prob probability distribution procedure production queueing models queueing system queueing theory random numbers random variable servers simplex method simplex tableau simulation slack variables solve steady-state strategy subset Table technique unit upper bound waiting Wyndor Glass x₁ X₂ y₁ zero