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 89
Page 129
... zero in the new BF solution . ( Note that basic variables with a value of zero are called degenerate , and the same term is applied to the corresponding BF solu- tion . ) Second , if one of these degenerate basic variables retains ...
... zero in the new BF solution . ( Note that basic variables with a value of zero are called degenerate , and the same term is applied to the corresponding BF solu- tion . ) Second , if one of these degenerate basic variables retains ...
Page 132
... zero coefficient in row 0. This situation is inevitable because the extra iteration does not change row 0 , so this leaving basic variable necessarily retains its zero coefficient . Making x4 an entering basic variable now would only ...
... zero coefficient in row 0. This situation is inevitable because the extra iteration does not change row 0 , so this leaving basic variable necessarily retains its zero coefficient . Making x4 an entering basic variable now would only ...
Page 726
... zero . Section 14.1 introduces the basic model for two - person , zero - sum games , and the next four sections describe and illustrate different approaches to solving such games . The chap- ter concludes by mentioning some other kinds ...
... zero . Section 14.1 introduces the basic model for two - person , zero - sum games , and the next four sections describe and illustrate different approaches to solving such games . The chap- ter concludes by mentioning some other kinds ...
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