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 ...
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 ...
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 sometimes requires adding a relatively large number of such
variables ...
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 sometimes requires adding a relatively large number of such
variables ...
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 ...
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 ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate 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 resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero