## 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 84

Page 166

The two basic factors that determine the performance of an algorithm on a real

problem are the average computer time per

. Our next comparisons concern these factors . Interior - point algorithms are far ...

The two basic factors that determine the performance of an algorithm on a real

problem are the average computer time per

**iteration**and the number of**iterations**. Our next comparisons concern these factors . Interior - point algorithms are far ...

Page 330

Since there is little to be learned by repeating these calculations for additional

reconfigured feasible region after rescaling based on the trial solution just

obtained for

Since there is little to be learned by repeating these calculations for additional

**iterations**, we shall stop here . However , we do show in Fig . 7.7 thereconfigured feasible region after rescaling based on the trial solution just

obtained for

**iteration**...Page 371

At each

consideration is calculated and displayed , the largest difference is circled and

the smallest unit cost in its row or column is enclosed in a box . The resulting ...

At each

**iteration**, after the difference for every row and column remaining underconsideration is calculated and displayed , the largest difference is circled and

the smallest unit cost in its row or column is enclosed in a box . The resulting ...

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

### 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