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 156
... parameter differs from its estimated value in the model , this immediately signals a need to change the solution . How are the sensitive parameters identified ? In the case of the b1 , you have just seen that this information is given ...
... parameter differs from its estimated value in the model , this immediately signals a need to change the solution . How are the sensitive parameters identified ? In the case of the b1 , you have just seen that this information is given ...
Page 255
... parameter value can affect the feasibility of the optimal BF solu- tion . For such parameters , it is useful to ... parameter lies outside its allowable range , this im- mediately signals a need to change the solution . For small ...
... parameter value can affect the feasibility of the optimal BF solu- tion . For such parameters , it is useful to ... parameter lies outside its allowable range , this im- mediately signals a need to change the solution . For small ...
Page 299
... Parameter b2 ( b ) Parameter c2 ( c ) Parameter a22 ( d ) Parameter C3 ( e ) Parameter a12 ( f ) Parameter b1 6.7-24 . Consider Variation 5 of the Wyndor Glass Co. model pre- sented in Sec . 6.7 , where c2 = 3 , ā22 = 3 , ā32 = 4 , and ...
... Parameter b2 ( b ) Parameter c2 ( c ) Parameter a22 ( d ) Parameter C3 ( e ) Parameter a12 ( f ) Parameter b1 6.7-24 . Consider Variation 5 of the Wyndor Glass Co. model pre- sented in Sec . 6.7 , where c2 = 3 , ā22 = 3 , ā32 = 4 , and ...
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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