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 429
... flow generated at each of the nodes ( see columns H and I ) . These net flows are required to be 0 for the transshipment nodes ( A , B , C , D , and E ) , as ... FLOW PROBLEM 429 The Minimum Cost Flow Problem The Maximum Flow Problem.
... flow generated at each of the nodes ( see columns H and I ) . These net flows are required to be 0 for the transshipment nodes ( A , B , C , D , and E ) , as ... FLOW PROBLEM 429 The Minimum Cost Flow Problem The Maximum Flow Problem.
Page 435
... flow constraints are needed for all the nodes . However , only two of the arcs happen to need arc capacity constraints . The tar- get cell ( D12 ) now gives the total cost of the flow ( shipments ) through the network ... FLOW PROBLEM 435.
... flow constraints are needed for all the nodes . However , only two of the arcs happen to need arc capacity constraints . The tar- get cell ( D12 ) now gives the total cost of the flow ( shipments ) through the network ... FLOW PROBLEM 435.
Page 436
... problem as a minimum cost flow problem . limited Co. problem can be viewed as a generalization of a transportation problem with two sources ( the two factories represented by nodes A and B in Fig . 9.13 ) , two destina- tions ( the two ...
... problem as a minimum cost flow problem . limited Co. problem can be viewed as a generalization of a transportation problem with two sources ( the two factories represented by nodes A and B in Fig . 9.13 ) , two destina- tions ( the two ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero