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 154
... shadow price by y * coefficient of the ith slack variable in row 0 of the final simplex tableau . = To illustrate , for the Wyndor Glass Co. problem , Resource i = production capacity of Plant i ( i = 1 , 2 , 3 ) being made available to ...
... shadow price by y * coefficient of the ith slack variable in row 0 of the final simplex tableau . = To illustrate , for the Wyndor Glass Co. problem , Resource i = production capacity of Plant i ( i = 1 , 2 , 3 ) being made available to ...
Page 155
... shadow price is y = for resource 2 for the Wyndor Glass Co. problem . The ... prices , including y = 0. ) = Now note in Fig . 4.8 why y 0. Because the ... shadow prices . Economists refer to such resources as scarce goods ...
... shadow price is y = for resource 2 for the Wyndor Glass Co. problem . The ... prices , including y = 0. ) = Now note in Fig . 4.8 why y 0. Because the ... shadow prices . Economists refer to such resources as scarce goods ...
Page 308
... shadow price from the report obtained in part ( b ) to determine whether it would be worthwhile to add any portable ... prices definitely would still be valid . Then use the shadow prices to determine which of these combinations is ...
... shadow price from the report obtained in part ( b ) to determine whether it would be worthwhile to add any portable ... prices definitely would still be valid . Then use the shadow prices to determine which of these combinations is ...
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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 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