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 397
... Prob . 8.1-2b . Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal solution for this problem . DJ 8.2-14 . Reconsider Prob . 8.1-3 . Starting with the northwest corner ...
... Prob . 8.1-2b . Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal solution for this problem . DJ 8.2-14 . Reconsider Prob . 8.1-3 . Starting with the northwest corner ...
Page 1082
... Prob . 21.2-5 . ( a ) Formulate a linear programming model for finding an optimal policy . c ( b ) Use the simplex method to solve this model . Use the re- sulting optimal solution to identify an optimal policy . 21.3-6 . Reconsider Prob ...
... Prob . 21.2-5 . ( a ) Formulate a linear programming model for finding an optimal policy . c ( b ) Use the simplex method to solve this model . Use the re- sulting optimal solution to identify an optimal policy . 21.3-6 . Reconsider Prob ...
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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