## 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 170

The column to the right of these values

The column to the right of these values

**gives**the reduced costs . We have not discussed reduced costs in this chapter because the information they provide can also be gleaned from the allowable range to stay optimal for the coefficients ...Page 231

For the primal problem , each column ( except the Right Side column )

For the primal problem , each column ( except the Right Side column )

**gives**the coefficients of a single variable in the respective constraints and then in the objective function , whereas each row ( except the bottom one )**gives**the ...Page 1107

For discrete distributions , a table lookup approach can be taken by constructing a table that

For discrete distributions , a table lookup approach can be taken by constructing a table that

**gives**a “ range " ( jump ) in the value of F ( x ) for each possible value of X = x . Excel provides a convenient VLOOKUP function to ...### 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