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 427
... maximum flow problem . 2 A 0 4 0 7 T 3 2 7 3 6 B D 5 2 C E 2 2 every directed path from the source to the sink . There normally are many ways to slice through a network to ... Maximum Flow Problems Most 4 0 9.5 THE MAXIMUM FLOW PROBLEM 427.
... maximum flow problem . 2 A 0 4 0 7 T 3 2 7 3 6 B D 5 2 C E 2 2 every directed path from the source to the sink . There normally are many ways to slice through a network to ... Maximum Flow Problems Most 4 0 9.5 THE MAXIMUM FLOW PROBLEM 427.
Page 428
... Maximum Flow Problems Most maximum flow problems that arise in practice are considerably larger , and occa- sionally vastly larger , than the Seervada Park problem . Some problems have thousands of nodes and arcs . The augmenting path ...
... Maximum Flow Problems Most maximum flow problems that arise in practice are considerably larger , and occa- sionally vastly larger , than the Seervada Park problem . Some problems have thousands of nodes and arcs . The augmenting path ...
Page 1166
... maximum Global maximum Local minimum Global minimum x tion . This solution need not be unique , since there could be a tie for the global minimum over a single interval where the derivative is zero . On the other hand , if f ( x ) ...
... maximum Global maximum Local minimum Global minimum x tion . This solution need not be unique , since there could be a tie for the global minimum over a single interval where the derivative is zero . On the other hand , if f ( x ) ...
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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