## 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. |

### From inside the book

Results 1-3 of 71

Page 306

( f ) For the optimal solution

the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the

family's monetary worth would be at the end of the year if each of the other five ...

( f ) For the optimal solution

**obtained**under each of the six scenarios ( includingthe good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the

family's monetary worth would be at the end of the year if each of the other five ...

Page 397

Both other energy needs can be to

met by any source or combination of sources . ... For each of the ( a ) Formulate

this problem as a transportation problem by conthree initial BF solutions

in ...

Both other energy needs can be to

**obtain**an optimal solution for this problem .met by any source or combination of sources . ... For each of the ( a ) Formulate

this problem as a transportation problem by conthree initial BF solutions

**obtained**in ...

Page 718

Consider the following linearly constrained convex gorithm to

same solution you found in part ( c ) ... Explain f ( x ) = 3xı + 4x2 – xi - xì , why

exactly the same results would be

with ...

Consider the following linearly constrained convex gorithm to

**obtain**exactly thesame solution you found in part ( c ) ... Explain f ( x ) = 3xı + 4x2 – xi - xì , why

exactly the same results would be

**obtained**on these two it- subject to erationswith ...

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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