Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
From inside the book
Results 1-3 of 86
Page 542
The measure of performance being used is additional person - years of life . ( For a particular country , this measure equals the increased life expectancy in years times the country's population . ) Table 11.1 gives the estimated ...
The measure of performance being used is additional person - years of life . ( For a particular country , this measure equals the increased life expectancy in years times the country's population . ) Table 11.1 gives the estimated ...
Page 550
Table 11.2 gives the estimated probability that the respective teams will fail when 0 , 1 , or 2 additional scientists are added to that team . Only integer numbers of scientists are considered because each new scientist will need to ...
Table 11.2 gives the estimated probability that the respective teams will fail when 0 , 1 , or 2 additional scientists are added to that team . Only integer numbers of scientists are considered because each new scientist will need to ...
Page 715
( d ) Now suppose that there is an additional constraint that the profit from products 1 and 2 must total at least $ 9,000 . Use the technique presented in the “ Extensions ” subsection of Sec . 13.8 to add this constraint to the model ...
( d ) Now suppose that there is an additional constraint that the profit from products 1 and 2 must total at least $ 9,000 . Use the technique presented in the “ Extensions ” subsection of Sec . 13.8 to add this constraint to the model ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
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 direction 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