## 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. |

### From inside the book

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Page 409

of or all the arcs in the network are directed arcs , we then distinguish between

directed

sequence of connecting arcs whose direction ( if any ) is toward node j , so that

flow ...

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 ; is asequence of connecting arcs whose direction ( if any ) is toward node j , so that

flow ...

Page 423

An augmenting

network such that every arc on this

The minimum of these residual capacities is called the residual capacity of the ...

An augmenting

**path**is a directed**path**from the source to the sink in the residualnetwork such that every arc on this

**path**has strictly positive residual capacity .The minimum of these residual capacities is called the residual capacity of the ...

Page 476

TABLE 10.2 The

Length START → AB →→ DG- H » M > FINISH START → AB H- M FINISH

START AB = ( - ERHK N FINISH START →→ B C - ME - A >>> N → FINISH

START ...

TABLE 10.2 The

**paths**and**path**lengths through Reliable's project network**Path**Length START → AB →→ DG- H » M > FINISH START → AB H- M FINISH

START AB = ( - ERHK N FINISH START →→ B C - ME - A >>> N → FINISH

START ...

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activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero