## 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 261

6.2 ( and ignoring slack variables ) , the dual simplex method uses just one iteration to move from the corner - point ... Optimality test : Test this solution for optimality ( if feasible ) by checking whether all its

6.2 ( and ignoring slack variables ) , the dual simplex method uses just one iteration to move from the corner - point ... Optimality test : Test this solution for optimality ( if feasible ) by checking whether all its

**nonbasic variable**...Page 262

4.7 and 6.2 , the economic interpretation of the dual variables ( the yi ) as shadow prices is extremely useful ... Consequently , the tableau still will be in proper form from Gaussian elimination and all the

4.7 and 6.2 , the economic interpretation of the dual variables ( the yi ) as shadow prices is extremely useful ... Consequently , the tableau still will be in proper form from Gaussian elimination and all the

**nonbasic variable**...Page 283

The table displays just the relevant rows of the tableaux involved ( row 0 and the row for the basic variable x2 ) . ... form X2 ( 2 ) O 23 / 3 2 1 0 0 1 2 9 = 8 . cients of

The table displays just the relevant rows of the tableaux involved ( row 0 and the row for the basic variable x2 ) . ... form X2 ( 2 ) O 23 / 3 2 1 0 0 1 2 9 = 8 . cients of

**nonbasic variables**x , and 6.7 APPLYING SENSITIVITY ANALYSIS 283.### 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