## Introduction to Operations ResearchCD-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 200

Now consider the basic feasible solutions . Note that the only requirements for a

solution to be feasible in the augmented form of the problem are that it satisfy the

system of equations and that all the variables be nonnegative . A

...

Now consider the basic feasible solutions . Note that the only requirements for a

solution to be feasible in the augmented form of the problem are that it satisfy the

system of equations and that all the variables be nonnegative . A

**BF solution**is a...

Page 397

8.2 to obtain an initial

Compare both these times and the values of The objective is to minimize the total

cost of meeting the energy the objective function for these solutions . needs .

8.2 to obtain an initial

**BF solution**, and time how long you spend for each one .Compare both these times and the values of The objective is to minimize the total

cost of meeting the energy the objective function for these solutions . needs .

Page 457

( b ) Use the optimality test to verify that this initial

there are multiple optimal solutions . Apply one iteration of the network simplex

method to find the other optimal

identify ...

( b ) Use the optimality test to verify that this initial

**BF solution**is optimal and thatthere are multiple optimal solutions . Apply one iteration of the network simplex

method to find the other optimal

**BF solution**, and then use these results toidentify ...

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### Common terms and phrases

activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero