## 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 99

Page 214

Ignoring row 0 for the moment , we see that these algebraic operations amount to premultiplying rows 1 to 3 of the initial

Ignoring row 0 for the moment , we see that these algebraic operations amount to premultiplying rows 1 to 3 of the initial

**tableau**by the matrix 1 0 0 1 0 0 0 1 Rows 1 to 3 of the initial**tableau**are 04 1 0 1 0 0 2 0 1 Old rows 1-3 = 0 ...Page 216

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

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 259

These coefficients of the slack variables necessarily are unchanged with the same algebraic operations originally performed by the simplex method because the coefficients of these same variables in the initial

These coefficients of the slack variables necessarily are unchanged with the same algebraic operations originally performed by the simplex method because the coefficients of these same variables in the initial

**tableau**are unchanged .### 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