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 174
... Prob . 4.1-5 . Follow the instructions of Prob . 4.2-1 for parts ( a ) , ( b ) , and ( c ) . ( d ) Repeat part ( b ) for the corner - point infeasible solutions and the corresponding basic infeasible solutions . ( e ) Repeat part ( c ) ...
... Prob . 4.1-5 . Follow the instructions of Prob . 4.2-1 for parts ( a ) , ( b ) , and ( c ) . ( d ) Repeat part ( b ) for the corner - point infeasible solutions and the corresponding basic infeasible solutions . ( e ) Repeat part ( c ) ...
Page 289
... Prob . 4.6-3 ( b ) Model in Prob . 4.6-8 ( c ) Model in Prob . 4.6-18 6.4-7 . Consider the model with equality constraints given in Prob . 4.6-2 . ( a ) Construct its dual problem . ( b ) Demonstrate that the answer in part ( a ) is ...
... Prob . 4.6-3 ( b ) Model in Prob . 4.6-8 ( c ) Model in Prob . 4.6-18 6.4-7 . Consider the model with equality constraints given in Prob . 4.6-2 . ( a ) Construct its dual problem . ( b ) Demonstrate that the answer in part ( a ) is ...
Page 714
... prob- lem that is to be addressed explicitly , and then identify the additional complementarity constraint that is enforced auto- matically by the algorithm . 1 ( c ) Apply the modified simplex method to the problem as for- mulated in ...
... prob- lem that is to be addressed explicitly , and then identify the additional complementarity constraint that is enforced auto- matically by the algorithm . 1 ( c ) Apply the modified simplex method to the problem as for- mulated in ...
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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