## 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 82

Page 120

Determining the Direction of Movement ( Step 1 of an Iteration )

nonbasic variable from zero ( while adjusting the values of ... 4.1 , the choice of

which nonbasic variable to

xı ?

Determining the Direction of Movement ( Step 1 of an Iteration )

**Increasing**onenonbasic variable from zero ( while adjusting the values of ... 4.1 , the choice of

which nonbasic variable to

**increase**is made as follows : Z = 3x1 + 5x2**Increase**xı ?

Page 307

One concern of the school board is the ongoing road construction in area 6.

These construction projects have been delaying traffic considerably and are

likely to affect the cost of bussing students from area 6 , perhaps

as much ...

One concern of the school board is the ongoing road construction in area 6.

These construction projects have been delaying traffic considerably and are

likely to affect the cost of bussing students from area 6 , perhaps

**increasing**themas much ...

Page 807

... the stock market model is changed so that the stock's going up tomorrow

depends upon whether it

stock has

probability 0.9 ...

... the stock market model is changed so that the stock's going up tomorrow

depends upon whether it

**increased**today and yesterday . In particular , if thestock has

**increased**for the past two days , it will**increase**tomorrow withprobability 0.9 ...

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### Common terms and phrases

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 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