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 97
( a ) All the functional constraints for this problem can be expressed as equality
constraints . To do this , let A , , B C , , and D , be the amount invested in
investment A , B , C , and D , respectively , at the beginning of year t for each t
where the ...
( a ) All the functional constraints for this problem can be expressed as equality
constraints . To do this , let A , , B C , , and D , be the amount invested in
investment A , B , C , and D , respectively , at the beginning of year t for each t
where the ...
Page 393
00 , and $ 8 . 40 in England , France , and tional 4 pints of home brew tomorrow .
Dick is willing to sell a Spain , respectively . The labor cost per hour in producing
oats is maximum of 5 pints total at a price of $ 3 . 00 per pint today and $ 6 .
00 , and $ 8 . 40 in England , France , and tional 4 pints of home brew tomorrow .
Dick is willing to sell a Spain , respectively . The labor cost per hour in producing
oats is maximum of 5 pints total at a price of $ 3 . 00 per pint today and $ 6 .
Page 617
Before , the binary variable was fixed at 0 and 1 , respectively , for the two new
subproblems . Now , the general integer - restricted variable could have a very
large number of possible integer values , and it would be inefficient to create and
...
Before , the binary variable was fixed at 0 and 1 , respectively , for the two new
subproblems . Now , the general integer - restricted variable could have a very
large number of possible integer values , and it would be inefficient to create and
...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 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 constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible 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 nonnegative 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 transportation 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 |