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 89
Page 136
( If the right - hand side is negative , multiply through both sides by - 1 first . ) Negative Right - Hand Sides The technique mentioned in the preceding sentence for dealing with an equality ...
( If the right - hand side is negative , multiply through both sides by - 1 first . ) Negative Right - Hand Sides The technique mentioned in the preceding sentence for dealing with an equality ...
Page 262
In this case , the only resulting changes in the final simplex tableau are in the right - side column . Consequently , the tableau still will be in proper form from Gaussian elimination and all the nonbasic variable coefficients in row ...
In this case , the only resulting changes in the final simplex tableau are in the right - side column . Consequently , the tableau still will be in proper form from Gaussian elimination and all the nonbasic variable coefficients in row ...
Page 743
Therefore , both sides have agreed to let an impartial arbitrator set the wage increase somewhere between $ 1.10 and $ 1.60 per hour ( inclusively ) . The arbitrator has asked each side to submit to her a confidential proposal for a ...
Therefore , both sides have agreed to let an impartial arbitrator set the wage increase somewhere between $ 1.10 and $ 1.60 per hour ( inclusively ) . The arbitrator has asked each side to submit to her a confidential proposal for a ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
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 allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables 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 graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero