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 477
... activity C , then for activities D , E , I , and then for activities G , F as well . Figure 10.4 shows ES and EF for each of these activities to the right of its node . For example , Activity G : ES EF for activity D = = 22 , EF = 22 + ...
... activity C , then for activities D , E , I , and then for activities G , F as well . Figure 10.4 shows ES and EF for each of these activities to the right of its node . For example , Activity G : ES EF for activity D = = 22 , EF = 22 + ...
Page 481
... activity M. Activity M : LF LS for the FINISH node = = 44 , = - LS 44 duration ( 2 weeks ) = 42 . ( Since activity M is one of the activities that together complete the project , we also could have automatically set its LF equal to the ...
... activity M. Activity M : LF LS for the FINISH node = = 44 , = - LS 44 duration ( 2 weeks ) = 42 . ( Since activity M is one of the activities that together complete the project , we also could have automatically set its LF equal to the ...
Page 498
... activity j ( for j = B , C , . . . , N ) , given the values of XA , XB , XN . ( No such variable is needed for activity A , since an activity that begins the project is au- tomatically assigned a value of 0. ) By treating the FINISH ...
... activity j ( for j = B , C , . . . , N ) , given the values of XA , XB , XN . ( No such variable is needed for activity A , since an activity that begins the project is au- tomatically assigned a value of 0. ) By treating the FINISH ...
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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