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
Results 1-3 of 92
Page 157
... sensitivity analysis of c , and C2 for the Wyndor Glass Co. problem . Starting with the original objective function line [ where c1 = 3 , C2 = 5 , and the optimal solution is ( 2 , 6 ) ] , the other two lines show the extremes of how ...
... sensitivity analysis of c , and C2 for the Wyndor Glass Co. problem . Starting with the original objective function line [ where c1 = 3 , C2 = 5 , and the optimal solution is ( 2 , 6 ) ] , the other two lines show the extremes of how ...
Page 254
... sensitivity analysis on the coefficients of the new variable added to the primal problem . By simply checking the new dual constraint , you can ... ANALYSIS 6 DUALITY THEORY AND SENSITIVITY The Essence of Sensitivity Analysis.
... sensitivity analysis on the coefficients of the new variable added to the primal problem . By simply checking the new dual constraint , you can ... ANALYSIS 6 DUALITY THEORY AND SENSITIVITY The Essence of Sensitivity Analysis.
Page 262
... relatively small changes that do not affect the feasibility of the current basic so- lution ( and so do not affect the y values ) . FIGURE 6.3 Feasible region for Variation 2 of the Wyndor 262 6 DUALITY THEORY AND SENSITIVITY ANALYSIS.
... relatively small changes that do not affect the feasibility of the current basic so- lution ( and so do not affect the y values ) . FIGURE 6.3 Feasible region for Variation 2 of the Wyndor 262 6 DUALITY THEORY AND SENSITIVITY ANALYSIS.
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 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