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 127
... Wyndor Glass Co. problem Coefficient of : Iteration Basic Variable Eq . Z X1 X2 X3 X4 X5 Right Side 0 *** N Z ( 0 ) 1 -3 -5 0 0 0 0 X3 ( 1 ) 0 1 0 1 0 0 4 ΧΑ ( 2 ) 0 X5 ( 3 ) 0 03 2 0 1 0 12 2 0 0 1 18 N ( 0 ) 1 -3 0 0 الله X3 ( 1 ) 0 1 ...
... Wyndor Glass Co. problem Coefficient of : Iteration Basic Variable Eq . Z X1 X2 X3 X4 X5 Right Side 0 *** N Z ( 0 ) 1 -3 -5 0 0 0 0 X3 ( 1 ) 0 1 0 1 0 0 4 ΧΑ ( 2 ) 0 X5 ( 3 ) 0 03 2 0 1 0 12 2 0 0 1 18 N ( 0 ) 1 -3 0 0 الله X3 ( 1 ) 0 1 ...
Page 197
... Wyndor Glass Co. example ( including the same objective function ) except for the en- FIGURE 5.3 X2 Modification of the Wyndor Glass Co. problem that violates both linear programming and Property 3 for CPF solutions in linear ( 0,6 ) ...
... Wyndor Glass Co. example ( including the same objective function ) except for the en- FIGURE 5.3 X2 Modification of the Wyndor Glass Co. problem that violates both linear programming and Property 3 for CPF solutions in linear ( 0,6 ) ...
Page 295
... Wyndor Glass Co. model ( see Fig . 6.6 and Table 6.24 ) , where the changes in the parameter val- ues given in Table 6.21 are c2 = 3 , ā22 3 , and a32 = 4. Verify both algebraically and graphically that the allowable range to stay ...
... Wyndor Glass Co. model ( see Fig . 6.6 and Table 6.24 ) , where the changes in the parameter val- ues given in Table 6.21 are c2 = 3 , ā22 3 , and a32 = 4. Verify both algebraically and graphically that the allowable range to stay ...
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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