Introduction to Operations ResearchCD-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. |
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Page 539
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
Page 556
We now have an infinite number of possible states ( 240 SS3 S 255 ) , so it is no longer feasible to solve separately for x * for each possible value of S3 . Therefore , we instead have solved for x3 as a function of the unknown Sz ...
We now have an infinite number of possible states ( 240 SS3 S 255 ) , so it is no longer feasible to solve separately for x * for each possible value of S3 . Therefore , we instead have solved for x3 as a function of the unknown Sz ...
Page 1105
For example , suppose that only three digits are desired , so that the possible values can be expressed as 000 , 001 , ... , 999 . In such a case , the usual procedure still is to use m = 2 ” or m = 10 ^ , so that an extremely large ...
For example , suppose that only three digits are desired , so that the possible values can be expressed as 000 , 001 , ... , 999 . In such a case , the usual procedure still is to use m = 2 ” or m = 10 ^ , so that an extremely large ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |