## 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 77

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**resulting**revised final tableau ( as a function of 0 ) , and convert this tableau to proper form from Gaussian elim- ination . Use this tableau to identify the current basic solution as a function of 0. Over the allowable values of 0 ...Page 538

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**resulting**cost comes from the next - to - last column . Each of the other arrows ( and the**resulting**cost ) comes from one row in one of the other tables in just the same way . You will see in the next section that the special terms ...Page 541

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**resulting**state s2 , then x for the**resulting**state s3 , and so forth to x for the**resulting**stage SN . . * N This backward movement was demonstrated by the stagecoach problem , where the optimal policy was found successively beginning ...### 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 CPF solution CPLEX decision variables described 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 graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero