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 408
The arcs of a network may have a flow of some type through them , e.g. , the flow of trams on the roads of Seervada Park in Sec . 9.1 . Table 9.1 gives several examples of flow in typical networks . If flow through an arc is allowed in ...
The arcs of a network may have a flow of some type through them , e.g. , the flow of trams on the roads of Seervada Park in Sec . 9.1 . Table 9.1 gives several examples of flow in typical networks . If flow through an arc is allowed in ...
Page 422
Maximize the flow of oil through a system of pipelines . 4. Maximize the flow of water through a system of aqueducts . 5. Maximize the flow of vehicles through a transportation network . For some of these applications , the flow through ...
Maximize the flow of oil through a system of pipelines . 4. Maximize the flow of water through a system of aqueducts . 5. Maximize the flow of vehicles through a transportation network . For some of these applications , the flow through ...
Page 429
Employing the equations given in the bottom right - hand corner of the figure , these flows then are used to calculate the net flow generated at each of the nodes ( see columns H and I ) . These net flows are required to be 0 for the ...
Employing the equations given in the bottom right - hand corner of the figure , these flows then are used to calculate the net flow generated at each of the nodes ( see columns H and I ) . These net flows are required to be 0 for the ...
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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