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 609
... subproblem to branch from is selected in this way . One option not used would have been always to select the remaining subproblem with the best bound , because this subproblem would be the most promising one to contain an optimal ...
... subproblem to branch from is selected in this way . One option not used would have been always to select the remaining subproblem with the best bound , because this subproblem would be the most promising one to contain an optimal ...
Page 610
... subproblems . Subproblem 1 has been fathomed , and subproblem 2 has been replaced by ( separated into ) subproblems 3 and 4 , but these last two remain under consideration . Because they were created simultaneously , but subproblem 4 ...
... subproblems . Subproblem 1 has been fathomed , and subproblem 2 has been replaced by ( separated into ) subproblems 3 and 4 , but these last two remain under consideration . Because they were created simultaneously , but subproblem 4 ...
Page 620
... subproblem 2 means that it is fathomed by test 2. However , just as for the whole problem , subproblem 1 fails all fathoming tests . These results are summarized in the solution tree shown in Fig . 12.11 . Iteration 2. With only one ...
... subproblem 2 means that it is fathomed by test 2. However , just as for the whole problem , subproblem 1 fails all fathoming tests . These results are summarized in the solution tree shown in Fig . 12.11 . Iteration 2. With only one ...
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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