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 153
This revised tableau and the op- timal solution for the prior model are then used as the initial tableau and the initial ba- sic solution for solving the new model . If this solution is feasible for the new model , then the simplex ...
This revised tableau and the op- timal solution for the prior model are then used as the initial tableau and the initial ba- sic solution for solving the new model . If this solution is feasible for the new model , then the simplex ...
Page 225
( b ) Use the given information to identify the shadow prices for the three resources . Z ( 0 ) 1 1 1 0 X2 ( 1 ) 0 1 3 0 X6 ( 2 ) 0 0 1 1 X3 ( 3 ) 0 1 2 0 1 5.2-2 . * Work through the revised simplex method step by step to solve the ...
( b ) Use the given information to identify the shadow prices for the three resources . Z ( 0 ) 1 1 1 0 X2 ( 1 ) 0 1 3 0 X6 ( 2 ) 0 0 1 1 X3 ( 3 ) 0 1 2 0 1 5.2-2 . * Work through the revised simplex method step by step to solve the ...
Page 256
Therefore , after making a few sim- ple calculations to revise this tableau , we can check easily whether the original ... we see that the revised fi- nal tableau is calculated from y * and S * ( which have not changed ) and the new ...
Therefore , after making a few sim- ple calculations to revise this tableau , we can check easily whether the original ... we see that the revised fi- nal tableau is calculated from y * and S * ( which have not changed ) and the new ...
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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