## Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |

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Page 69

Finally , the value of the

Finally , the value of the

**objective function**is entered in cell E8 . Much like the other values in column E , it is the sum of products . The equation for cell E8 is = SUMPRODUCT ( C8 : D8 , C9 : D9 ) . The lower right - hand side of ...Page 148

Begin with their

Begin with their

**objective functions**. Big M Method : Minimize Z = 0.4x1 + 0.5x2 + MX4 + Mło . Two - Phase Method : Phase 1 : Phase 2 : Minimize Minimize Z = 4 + X6 Z = 0.4x1 + 0.5x2 . Because the Mx4 and Mło terms dominate the 0.4x ...Page 273

a a Analyzing Simultaneous Changes in

a a Analyzing Simultaneous Changes in

**Objective Function**Coefficients . Regardless of whether x ; is a basic or nonbasic variable , the allowable range to stay optimal for C ; is valid only if this**objective function**coefficient is the ...### What people are saying - Write a review

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### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero