## 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 176

Maximize Z = 2xy + 3x2 , x 20 , X220 , X3 20 . subject to x ] + 2x2 < 30 X1 + X2 = 20 and DI ( a ) Work through the

Maximize Z = 2xy + 3x2 , x 20 , X220 , X3 20 . subject to x ] + 2x2 < 30 X1 + X2 = 20 and DI ( a ) Work through the

**simplex method**step by step in algebraic form to solve this problem . DI ( b ) Work through the**simplex method**step by ...Page 178

I ( c ) Work through the

I ( c ) Work through the

**simplex method**step by step to solve the problem . ( a ) Solve this problem graphically . ( b ) Using the Big M method , construct the complete first simplex tableau for the**simplex method**and identify the ...Page 310

to achieve dual feasibility as well ( the optimality test for the

to achieve dual feasibility as well ( the optimality test for the

**simplex method**) . By contrast , the dual**simplex method**deals with basic solutions in the primal problem that are dual feasible but not primal feasible .### 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