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 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 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 ... maximum flow problem 436 9 NETWORK OPTIMIZATION MODELS.
... 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 ... maximum flow problem 436 9 NETWORK OPTIMIZATION MODELS.
Page 437
... maximum flow problem as a minimum cost flow problem . [ 0 ] All Cij Uij = 0 except COT⚫ values are given next to the arcs . A 5 [ F ] O 3 [ 0 ] [ 0 ] 9 T [ -F ] 7 4 B D 5 2 1 6 4 E C [ 0 ] [ 0 ] COT = M ( UOT = ∞ ) = through the ...
... maximum flow problem as a minimum cost flow problem . [ 0 ] All Cij Uij = 0 except COT⚫ values are given next to the arcs . A 5 [ F ] O 3 [ 0 ] [ 0 ] 9 T [ -F ] 7 4 B D 5 2 1 6 4 E C [ 0 ] [ 0 ] COT = M ( UOT = ∞ ) = through the ...
Other editions - View all
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 corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject 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 right-hand sides sensitivity analysis shadow prices simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero