## 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 71

Page 113

Solution concept 1 : The simplex method focuses solely on

Solution concept 1 : The simplex method focuses solely on

**CPF solutions**. For any problem with at least one optimal solution , finding one requires only finding a best**CPF solution**. " Since the number of feasible solutions generally is ...Page 174

4x1 - x2 = 10 -X1 + 2x2 5 5 and ( b ) For each

4x1 - x2 = 10 -X1 + 2x2 5 5 and ( b ) For each

**CPF solution**, identify the corresponding BF solution by calculating the values of the slack variables . For each BF solution , use the values of the variables to identify the nonbasic ...Page 195

A

A

**CPF solution**lies at the intersection of n constraint boundaries ( and satisfies the other constraints as well ) . ... Two**CPF solutions**are adjacent if the line segment connecting them is an edge of the feasible region .### 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