## 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 85

Page 215

What this portion of the tableau reveals is how the entire final tableau ( except row 0 ) has been obtained from the

What this portion of the tableau reveals is how the entire final tableau ( except row 0 ) has been obtained from the

**initial**tableau , namely , Final row 1 = ( 1 ) (**initial**row 1 ) + ( 3 ) (**initial**row 2 ) + ( -5 ) (**initial**row 3 ) ...Page 216

Even when the simplex method has gone through hundreds or thousands of iterations , the coefficients of the slack variables in the final tableau will reveal how this tableau has been obtained from the

Even when the simplex method has gone through hundreds or thousands of iterations , the coefficients of the slack variables in the final tableau will reveal how this tableau has been obtained from the

**initial**tableau .Page 397

8.2 to obtain an

8.2 to obtain an

**initial**BF solution , and time how long you spend for each one . Compare both these times and the values of the objective function for these solutions . C ( b ) Obtain an optimal solution for this problem .### 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 additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero