## 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 |

### From inside the book

Results 1-3 of 79

Page 72

Typically, it will

Solver Results dialogue box shown in Fig. 3.19 ... The spreadsheet also

the value of the objective function, as well as the amount of each resource that is

...

Typically, it will

**indicate**that it has found an optimal solution, as specified in theSolver Results dialogue box shown in Fig. 3.19 ... The spreadsheet also

**indicates**the value of the objective function, as well as the amount of each resource that is

...

Page 199

Each constraint has an

its value is zero) whether that constraint's boundary equation is satisfied by the

current solution. A summary appears in Table 5.3. For the type of constraint in ...

Each constraint has an

**indicating**variable that completely**indicates**(by whetherits value is zero) whether that constraint's boundary equation is satisfied by the

current solution. A summary appears in Table 5.3. For the type of constraint in ...

Page 450

An asterisk on the problem number

given in the back of the book. 9.2-1. Consider the following directed network. (a)

Find a directed path from node A to node F, and then identify three other

undirected ...

An asterisk on the problem number

**indicates**that at least a partial answer isgiven in the back of the book. 9.2-1. Consider the following directed network. (a)

Find a directed path from node A to node F, and then identify three other

undirected ...

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activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks