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 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 288
... prob- lem , and then use these equations to find this solution . 6.3-8 . Consider the model given in Prob . 5.3-13 . ( a ) Construct the dual problem . ( b ) Use the given information about the basic variables in the op- timal primal ...
... prob- lem , and then use these equations to find this solution . 6.3-8 . Consider the model given in Prob . 5.3-13 . ( a ) Construct the dual problem . ( b ) Use the given information about the basic variables in the op- timal primal ...
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 ...
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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