## 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 269

Aj Case 20 — Changes in the Coefficients of a Nonbasic Variable Consider a particular variable x ; ( fixed j ) that is a nonbasic variable in the optimal soluа

Aj Case 20 — Changes in the Coefficients of a Nonbasic Variable Consider a particular variable x ; ( fixed j ) that is a nonbasic variable in the optimal soluа

**tion**shown by the final simplex tableau . In Case 2a , the only change in ...Page 718

( b ) Show graphically how the sequence of trial solutions obtained 4xy + 2x2 5 5 in part ( a ) can be extrapolated to obtain a closer approximaand

( b ) Show graphically how the sequence of trial solutions obtained 4xy + 2x2 5 5 in part ( a ) can be extrapolated to obtain a closer approximaand

**tion**of an optimal solution . What is your resulting estimate of this solution ?Page 1166

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**tion**. This solution need not be unique , since there could be global minimum and maximum would be found by compara tie for the global minimum over a single interval where ing the local minima and maxima and then checking the 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 additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero