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. |
From inside the book
Results 1-3 of 74
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 72
... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Reports Answer Sensitivity Limits Restore Original Values OK Cancel Save Scenario ... Help should be used to ...
... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Reports Answer Sensitivity Limits Restore Original Values OK Cancel Save Scenario ... Help should be used to ...
Page 1157
... Solver for Education ( Version 3.5 ) , which is a more powerful version of the standard Solver in Excel . It works with Excel 5 , 95 , 97 , and 2000 on Windows systems ( but not with Excel 98 for Macintosh ) . Premium Solver offers four ...
... Solver for Education ( Version 3.5 ) , which is a more powerful version of the standard Solver in Excel . It works with Excel 5 , 95 , 97 , and 2000 on Windows systems ( but not with Excel 98 for Macintosh ) . Premium Solver offers four ...
Other editions - View all
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