## 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

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Page 369

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**remaining**supply in its row or the**remaining**demand in its column ( whichever is smaller ) . 3. Eliminate that row or column ( whichever had the smaller**remaining**supply or demand ) from further consideration . ( If the row and column ...Page 370

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**remaining**in row 1 , so next select x1,1 + 1 = X12 to be a ba- sic variable . Because this supply is no larger than the demand of 20 in column 2 , all of it is allocated , x12 = 20 , and this row is eliminated from further consideration ...Page 371

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**remaining**un- der consideration is calculated and displayed , the largest difference is circled and the small- est ...**remaining**variable associated with row 3 to be basic . Second , note that the allocation of x23 = 20 at the next ...### 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 constraint boundary corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero