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 409
3.13 , illustrates a directed network . of or all the arcs in the network are directed arcs , we then distinguish between directed paths and undirected paths . A directed path from node i to node j is a sequence of con- necting arcs ...
3.13 , illustrates a directed network . of or all the arcs in the network are directed arcs , we then distinguish between directed paths and undirected paths . A directed path from node i to node j is a sequence of con- necting arcs ...
Page 423
An augmenting path is a directed path from the source to the sink in the residual network such that every arc on this path has strictly positive residual capacity . The mini- mum of these residual capacities is called the residual ...
An augmenting path is a directed path from the source to the sink in the residual network such that every arc on this path has strictly positive residual capacity . The mini- mum of these residual capacities is called the residual ...
Page 476
TABLE 10.2 The paths and path lengths through Reliable's project network START Path ABC → D → G → H → M → FINISH START → A → BC → E → H → M → FINISH START → A → B →→ C → E → F →→→→ K → N → FINISH START → A → B ...
TABLE 10.2 The paths and path lengths through Reliable's project network START Path ABC → D → G → H → M → FINISH START → A → BC → E → H → M → FINISH START → A → B →→ C → E → F →→→→ K → N → FINISH START → A → B ...
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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