## 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 120

Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the

Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the

**basic variables**to continue satisfying the system of equations ) corresponds to moving along ...Page 129

Tie for the Leaving

Tie for the Leaving

**Basic Variable**- Degeneracy Now suppose that two or more**basic variables**tie for being the leaving ... First , all the tied**basic variables**reach zero simultaneously as the entering**basic variable**is increased .Page 311

Feasibility test : Check to see whether all the

Feasibility test : Check to see whether all the

**basic variables**are nonnegative . ... Iteration : Step 1 Determine the leaving**basic variable**: Select the negative**basic variable**that has the largest absolute value .### What people are saying - Write a review

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### 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