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 71
Page 216
... tableau ) were changed , so these coefficients also reveal how the rest of the final tableau changes with changes in the initial tableau . To complete this story for row 0 , the fundamental insight reveals that the entire final row 0 ...
... tableau ) were changed , so these coefficients also reveal how the rest of the final tableau changes with changes in the initial tableau . To complete this story for row 0 , the fundamental insight reveals that the entire final row 0 ...
Page 218
... final tableau ( y * and S * ) , these equations en- able calculating all the other numbers in the final tableau . We already used these two equations when dealing with iteration 2 for the Wyndor Glass Co. problem in the preceding ...
... final tableau ( y * and S * ) , these equations en- able calculating all the other numbers in the final tableau . We already used these two equations when dealing with iteration 2 for the Wyndor Glass Co. problem in the preceding ...
Page 259
... tableau are unchanged . However , because other portions of the initial tableau have changed , there will be changes in the rest of the final tableau as well . Using the formulas in Table 6.17 , we cal- culate the revised numbers in the ...
... tableau are unchanged . However , because other portions of the initial tableau have changed , there will be changes in the rest of the final tableau as well . Using the formulas in Table 6.17 , we cal- culate the revised numbers in the ...
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