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 585
A full - fledged formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the ...
A full - fledged formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the ...
Page 591
In general terms , for all the formulation possibilities with auxiliary binary variables discussed in this section , we need to strike the same note of caution . This approach some- times requires adding a relatively large number of ...
In general terms , for all the formulation possibilities with auxiliary binary variables discussed in this section , we need to strike the same note of caution . This approach some- times requires adding a relatively large number of ...
Page 1206
Linear programming - Cont . problem formulation , 45-46 , 48-49 , 52-56 , 58-59 , 60-61 conclusions , 30 graphical solution , 27–30 and OR Courseware , 30-31 problem formulation , 26-27 and separable programming , 692–696 of simplex ...
Linear programming - Cont . problem formulation , 45-46 , 48-49 , 52-56 , 58-59 , 60-61 conclusions , 30 graphical solution , 27–30 and OR Courseware , 30-31 problem formulation , 26-27 and separable programming , 692–696 of simplex ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero