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 223
(b) The number of CPF solutions is at least (m + n)! (c) If a CPF solution has
adjacent CPF solutions that are better (as measured by Z), then one of these
adjacent CPF solutions must be an optimal solution. 5.1-12. Label each of the
following ...
(b) The number of CPF solutions is at least (m + n)! (c) If a CPF solution has
adjacent CPF solutions that are better (as measured by Z), then one of these
adjacent CPF solutions must be an optimal solution. 5.1-12. Label each of the
following ...
Page 397
D.I (b) Use the northwest corner rule to obtain an initial BF solution for this
problem. ... Compare both these times and the values of the objective function for
these solutions. c (b) Obtain an optimal solution for this problem. For each of the
three ...
D.I (b) Use the northwest corner rule to obtain an initial BF solution for this
problem. ... Compare both these times and the values of the objective function for
these solutions. c (b) Obtain an optimal solution for this problem. For each of the
three ...
Page 615
Finally, when the optimality test finds that there are no remaining (unfathomed)
subsets, all the current incumbents will be the optimal solutions. Finally, note that
rather than find an optimal solution, the branch-and-bound technique can be ...
Finally, when the optimality test finds that there are no remaining (unfathomed)
subsets, all the current incumbents will be the optimal solutions. Finally, note that
rather than find an optimal solution, the branch-and-bound technique can be ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
44 other sections not shown
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit weeks
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 |