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. |
From inside the book
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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 72
... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Restore Original Values OK Reports Answer Sensitivity Limits Cancel Save Scenario ... Help should be used to ...
... Solver Results Solver found a solution . All constraints and optimality conditions are satisfied . Keep Solver Solution Restore Original Values OK Reports Answer Sensitivity Limits Cancel Save Scenario ... Help should be used to ...
Page 1157
... Solver offers four times the capacity ( 800 decision variables ) of the standard Solver for linear programming problems , and twice the ca- pacity ( 400 decision variables ) for nonlinear programming problems , plus solution speeds 3 ...
... Solver offers four times the capacity ( 800 decision variables ) of the standard Solver for linear programming problems , and twice the ca- pacity ( 400 decision variables ) for nonlinear programming problems , plus solution speeds 3 ...
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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 dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming 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 slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero