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 170
The column to the right of these values gives the reduced costs . We have not discussed re- duced costs in this chapter because the information they provide can also be gleaned from the al- lowable range to stay optimal for the ...
The column to the right of these values gives the reduced costs . We have not discussed re- duced costs in this chapter because the information they provide can also be gleaned from the al- lowable range to stay optimal for the ...
Page 231
For the primal problem , each column ( except the Right Side column ) gives the coefficients of a single variable in the respective constraints and then in the objective function , whereas each row ( except the bottom one ) gives the ...
For the primal problem , each column ( except the Right Side column ) gives the coefficients of a single variable in the respective constraints and then in the objective function , whereas each row ( except the bottom one ) gives the ...
Page 1121
For each iteration of the simulation , the maximum of the six path lengths gives the duration of the project ( in weeks ) . One output cell gives this duration and the other indicates whether this duration meets the deadline by not ex- ...
For each iteration of the simulation , the maximum of the six path lengths gives the duration of the project ( in weeks ) . One output cell gives this duration and the other indicates whether this duration meets the deadline by not ex- ...
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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