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 69
... Solver to Solve the Model Excel includes a tool called Solver that uses the simplex method to find an optimal solu- tion . ( A more powerful version of Solver , called Premium Solver , also is available in your OR Courseware . ) Before ...
... Solver to Solve the Model Excel includes a tool called Solver that uses the simplex method to find an optimal solu- tion . ( A more powerful version of Solver , called Premium Solver , also is available in your OR Courseware . ) Before ...
Page 70
... Solver Parameters Set Target Cell : $ E $ 8 Solve Equal To : Max Min Value of : 0 Close By Changing Cells : $ C $ 9 : $ D $ 9 Subject to ... Solver Parameters Min Yalue of : Solver Options Derivatives 70 3 INTRODUCTION TO LINEAR PROGRAMMING.
... Solver Parameters Set Target Cell : $ E $ 8 Solve Equal To : Max Min Value of : 0 Close By Changing Cells : $ C $ 9 : $ D $ 9 Subject to ... Solver Parameters Min Yalue of : Solver Options Derivatives 70 3 INTRODUCTION TO LINEAR PROGRAMMING.
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... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied .. Keep Solver Solution Restore Original Values Reports Answer Sensitivity Limits OK Cancel Save Scenario ... Help should be used to solve ...
... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied .. Keep Solver Solution Restore Original Values Reports Answer Sensitivity Limits OK Cancel Save Scenario ... Help should be used to solve ...
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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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero