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 31
... linear programming models . Section 3.6 describes how to use Excel to formulate and solve linear programming models in a spreadsheet format . De- scriptions of the other packages are provided in Sec . 3.7 ( MPL and LINGO ) , Appendix ...
... linear programming models . Section 3.6 describes how to use Excel to formulate and solve linear programming models in a spreadsheet format . De- scriptions of the other packages are provided in Sec . 3.7 ( MPL and LINGO ) , Appendix ...
Page 163
... linear programming models . 4. LINGO and its solver ( shared with LINDO ) for an alternative way of efficiently for- mulating and solving large linear programming models . 5. LINDO for formulating and solving linear programming models ...
... linear programming models . 4. LINGO and its solver ( shared with LINDO ) for an alternative way of efficiently for- mulating and solving large linear programming models . 5. LINDO for formulating and solving linear programming models ...
Page 340
... Linear Programming : Just Call Newton , Lagrange , and Fiacco and McCormick !, " Interfaces , 20 : 105-116 , July - August 1990 . 4. Saigal , R .: Linear Programming : A Modern Integrated Analysis , Kluwer Academic Publishers , Boston ...
... Linear Programming : Just Call Newton , Lagrange , and Fiacco and McCormick !, " Interfaces , 20 : 105-116 , July - August 1990 . 4. Saigal , R .: Linear Programming : A Modern Integrated Analysis , Kluwer Academic Publishers , Boston ...
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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