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 300
After we apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the original model . Show the complete tableau ...
After we apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the original model . Show the complete tableau ...
Page 397
DI ( c ) Starting with the initial BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal solution . D.I ( d ) Use Vogel's approximation method to obtain an initial BF solution for ...
DI ( c ) Starting with the initial BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal solution . D.I ( d ) Use Vogel's approximation method to obtain an initial BF solution for ...
Page 1043
Choosing an appropriate value of the smoothing con- stant a is a key decision when applying the exponential smooth- ing method . When relevant historical data exist , one approach to making this decision is to apply the method ...
Choosing an appropriate value of the smoothing con- stant a is a key decision when applying the exponential smooth- ing method . When relevant historical data exist , one approach to making this decision is to apply the method ...
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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