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 200
... BF solution is a basic solution where all m basic variables are nonnegative ( ≥ 0 ) . A BF solution is said to be degenerate if any of these m variables equals zero . Thus , it is possible for variable to be zero and still not be a ...
... BF solution is a basic solution where all m basic variables are nonnegative ( ≥ 0 ) . A BF solution is said to be degenerate if any of these m variables equals zero . Thus , it is possible for variable to be zero and still not be a ...
Page 397
... BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal solution . D , I ( d ) Use Vogel's approximation method to obtain an initial BF solution for this problem . DI ( e ) Starting ...
... BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal solution . D , I ( d ) Use Vogel's approximation method to obtain an initial BF solution for this problem . DI ( e ) Starting ...
Page 457
... BF solution is optimal and that there are multiple optimal solutions . Apply one iteration of the network simplex method to find the other optimal BF solution , and then use these results to identify the other optimal solutions that are not ...
... BF solution is optimal and that there are multiple optimal solutions . Apply one iteration of the network simplex method to find the other optimal BF solution , and then use these results to identify the other optimal solutions that are not ...
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 cost CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero