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 422
... capacity of this arc equals the maximum flow that , in reality , can originate from this node . Similarly , the dummy sink is treated as the node that absorbs all the flow that , in reality , terminates at some of the other nodes ...
... capacity of this arc equals the maximum flow that , in reality , can originate from this node . Similarly , the dummy sink is treated as the node that absorbs all the flow that , in reality , terminates at some of the other nodes ...
Page 423
... capacity in the original direction remains the same and the arc capacity in the opposite direction is zero , so the constraints on flows are unchanged . Subsequently , whenever some amount of flow is assigned to an arc , that amount is ...
... capacity in the original direction remains the same and the arc capacity in the opposite direction is zero , so the constraints on flows are unchanged . Subsequently , whenever some amount of flow is assigned to an arc , that amount is ...
Page 426
... capacities with the original arc capacities . If we use the latter method , there is flow along an arc if the final residual capacity is less than the orig- inal capacity . The magnitude of this flow equals the difference in these ...
... capacities with the original arc capacities . If we use the latter method , there is flow along an arc if the final residual capacity is less than the orig- inal capacity . The magnitude of this flow equals the difference in these ...
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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