## 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 81

Page 577

For

For

**example**, should we undertake a particular fixed project ? Should we make a particular fixed investment ? Should we locate a facility in a particular site ? With just two choices , we can represent such decisions by decision ...Page 580

These instructions for how to use the various software packages become clearer when you see them applied to

These instructions for how to use the various software packages become clearer when you see them applied to

**examples**. The Excel , LINGO / LINDO , and MPL / CPLEX files for this chapter in your OR Courseware show how each of these ...Page 1206

... 616 , 630 Markov decision processes — Cont . prototype

... 616 , 630 Markov decision processes — Cont . prototype

**example**, 1053–1056 cost data , 1056 discounted cost method , 1072-1073 and linear programming , 1061 , 1063 method of successive approximations , 1076-1077 solved by linear ...### 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 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