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 236
Weak duality property : If x is a feasible solution for the primal problem and y is a feasible solution for the dual problem , then cx = yb . For example , for the Wyndor Glass Co. problem , one feasible solution is xy = 3 , x2 = 3 ...
Weak duality property : If x is a feasible solution for the primal problem and y is a feasible solution for the dual problem , then cx = yb . For example , for the Wyndor Glass Co. problem , one feasible solution is xy = 3 , x2 = 3 ...
Page 246
Yes No Yes Feasible ? Optimal Superoptimal Suboptimal Neither feasible nor superoptimal No 1 To review the reasoning behind this property , note that the dual solution ( y * , z * – c ) must be feasible for the dual problem because the ...
Yes No Yes Feasible ? Optimal Superoptimal Suboptimal Neither feasible nor superoptimal No 1 To review the reasoning behind this property , note that the dual solution ( y * , z * – c ) must be feasible for the dual problem because the ...
Page 1200
... 3 Businesses organizational complexity , 1 - 2 parties affected by , 9 Basic feasible solution , 116 , 198 – 199 , 601 adjacent , 117 augmented , 116 constructing , 368 degenerate , 200 and feasible spanning tree , 439 – 440 initial ...
... 3 Businesses organizational complexity , 1 - 2 parties affected by , 9 Basic feasible solution , 116 , 198 – 199 , 601 adjacent , 117 augmented , 116 constructing , 368 degenerate , 200 and feasible spanning tree , 439 – 440 initial ...
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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 |