Introduction to Operations Research, Volume 1CD-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
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 connecting arcs whose direction ( if any ) is toward nodej ...
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 connecting arcs whose direction ( if any ) is toward nodej ...
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 minimum 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 minimum of these residual capacities is called the residual ...
Page 476
TABLE 10.2 The paths and path lengths through Reliable's project network Path Length START A - B - C - D -- G HM FINISH START →→→→ EHM- → FINISH START →→ B > -FSK N → FINISH START → AB →→ EL N- FINISH START →→→→→→ N ...
TABLE 10.2 The paths and path lengths through Reliable's project network Path Length START A - B - C - D -- G HM FINISH START →→→→ EHM- → FINISH START →→ B > -FSK N → FINISH START → AB →→ EL N- FINISH START →→→→→→ N ...
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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 assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero