## 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. |

### From inside the book

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**final tableau**will reveal how this tableau has been obtained from the initial tableau . Furthermore , the same algebraic operations would give these same coefficients even if the values of some of the parameters in the original model ...Page 217

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**final**simplex tableaux in matrix form , Initial**Tableau**Row 0 : illustrated by the Wyndor Glass Co. problem t = [ 3,5 0 , 0 , 0 0 ] = [ -c00 ] . 1 0 1 0 0 4 Other rows : T = 0 20 1 0 12 = [ A Ib ] . 3 2 0 0 1 18 Combined : H C 0 = A**Final**...Page 259

... tableau are unchanged . However , because other portions of the initial tableau have changed , there will be changes in the rest of the

... tableau are unchanged . However , because other portions of the initial tableau have changed , there will be changes in the rest of the

**final tableau**as well . Using the formulas in Table 6.17 , we cal- culate the revised numbers in the ...### 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 allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero