## 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 73

3.1 and 3.4 , the model sizes range from three

3.1 and 3.4 , the model sizes range from three

**functional constraints**and two decision variables ( for the Wyndor and radiation therapy problems ) up to 17**functional constraints**and 12 decision variables ( for the Save - It Company ...Page 75

When maximizing this objective function , the 21,000 decision variables need to satisfy nonnegativity constraints as well as four types of

When maximizing this objective function , the 21,000 decision variables need to satisfy nonnegativity constraints as well as four types of

**functional constraints**- production capacity constraints , plant balance constraints ( equality ...Page 249

Another shortcut involves

Another shortcut involves

**functional constraints**in > form for a maximization problem . The straightforward ( but longer ) approach would begin by converting each such constraint to s form n n AijX ; = bi Š QijX ; 5 - bi .### 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