## Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |

### From inside the book

Results 1-3 of 87

Page 216

Even when the simplex method has gone through hundreds or thousands of iterations , the coefficients of the slack variables in 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 228

plex tableau for the simplex method , and then identify the columns that will contains S * for applying the fundamental insight in the

plex tableau for the simplex method , and then identify the columns that will contains S * for applying the fundamental insight in the

**final**tableau . Explain why these are the appropriate columns . 5.3-11 .Page 259

However , because other portions of the initial tableau have changed , there will be changes in the rest of the

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 calculate the revised numbers in the rest of the**final**tableau ...### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

### 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 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