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 181
... respective functional constraints as the amount avail- able of the respective resources . ( a ) Use graphical analysis as in Fig . 4.8 to determine the shadow prices for the respective resources . ( b ) Use graphical analysis to perform ...
... respective functional constraints as the amount avail- able of the respective resources . ( a ) Use graphical analysis as in Fig . 4.8 to determine the shadow prices for the respective resources . ( b ) Use graphical analysis to perform ...
Page 300
... respective functional constraints . After we apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the ...
... respective functional constraints . After we apply the simplex method with = 0 , the final simplex tableau is ( a ) Use the fundamental insight ( Sec . 5.3 ) to revise this tableau to reflect the inclusion of the parameter in the ...
Page 393
... respectively . The unit man- ufacturing cost of the third product would be $ 38 , $ 35 , and $ 40 in Plants 1 , 2 , and 3 , respectively , whereas Plants 4 and 5 do not have the capability for producing this product . Sales forecasts ...
... respectively . The unit man- ufacturing cost of the third product would be $ 38 , $ 35 , and $ 40 in Plants 1 , 2 , and 3 , respectively , whereas Plants 4 and 5 do not have the capability for producing this product . Sales forecasts ...
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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 described 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 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero