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 159
The " Final Value " column gives the value of each constraint's left - hand side for the optimal solution . ... For any b1 , its allowable range to stay feasible is the range of values for this right - hand side over which the current ...
The " Final Value " column gives the value of each constraint's left - hand side for the optimal solution . ... For any b1 , its allowable range to stay feasible is the range of values for this right - hand side over which the current ...
Page 255
However , there may also be parameters with likely alternative values that would yield a new optimal solution . This situation is particularly serious if the original solution would then have a substan- tially inferior value of the ...
However , there may also be parameters with likely alternative values that would yield a new optimal solution . This situation is particularly serious if the original solution would then have a substan- tially inferior value of the ...
Page 299
Specifically , for each parameter , determine the allowable range of values for which the current basic solution ( per- haps with new values for the basic variables ) will remain both fea- sible and optimal . Then , for each parameter ...
Specifically , for each parameter , determine the allowable range of values for which the current basic solution ( per- haps with new values for the basic variables ) will remain both fea- sible and optimal . Then , for each parameter ...
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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