## 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 |

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Page 129

First , all the tied basic variables reach

First , all the tied basic variables reach

**zero**simultaneously as the entering basic variable is increased . Therefore , the one or ones not chosen to be the leaving basic variable also will have a value of**zero**in the new BF solution .Page 132

ever , because a nonbasic variable ( x3 ) then has a

ever , because a nonbasic variable ( x3 ) then has a

**zero**coefficient in row 0 , we perform one more iteration in Table 4.10 to identify the other optimal BF solution . Thus , the two optimal BF solutions are ( 4 , 3 , 0 , 6 , 0 ) and ...Page 726

However , the focus in this chapter is on the simplest case , called two - person ,

However , the focus in this chapter is on the simplest case , called two - person ,

**zero**- sum games . As the name implies , these games involve only two adversaries or players ( who may be armies , teams , firms , and so on ) .### What people are saying - Write a review

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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