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 287
... tion ( one or more basic variables equal to zero ) as its optimal sothen the optimal value of the objective function for the dual lution . What does this degeneracy imply about the dual problem ? problem must be zero . Why ?
... tion ( one or more basic variables equal to zero ) as its optimal sothen the optimal value of the objective function for the dual lution . What does this degeneracy imply about the dual problem ? problem must be zero . Why ?
Page 994
To help avoid shortages , Jed has de- tion 1 , the lead time would have a normal distribution with a mean cided to keep enough safety stock to prevent a shortage before the of 0.5 week and a standard deviation of 0.1 week .
To help avoid shortages , Jed has de- tion 1 , the lead time would have a normal distribution with a mean cided to keep enough safety stock to prevent a shortage before the of 0.5 week and a standard deviation of 0.1 week .
Page 1166
X 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 ...
X 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 ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
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 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