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. |
From inside the book
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Page 136
This example involved only one equality constraint . If a linear programming model has more than one , each is handled in just the same way . ( If the right - hand side is nega- tive , multiply through both sides by 1 first . ) ...
This example involved only one equality constraint . If a linear programming model has more than one , each is handled in just the same way . ( If the right - hand side is nega- tive , multiply through both sides by 1 first . ) ...
Page 262
In this case , the only resulting changes in the final simplex tableau are in the right - side column . Consequently , the tableau still will be in proper form from Gaussian elimination and all the nonbasic variable coefficients in row ...
In this case , the only resulting changes in the final simplex tableau are in the right - side column . Consequently , the tableau still will be in proper form from Gaussian elimination and all the nonbasic variable coefficients in row ...
Page 743
The arbitrator has asked each side to submit to her a confi- dential proposal for a fair and economically ... From past experience , both sides know that this arbitrator normally accepts the proposal of the side that gives the most from ...
The arbitrator has asked each side to submit to her a confi- dential proposal for a fair and economically ... From past experience , both sides know that this arbitrator normally accepts the proposal of the side that gives the most from ...
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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