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 879
Specifically, this distribution would assume that there are fixed probabilities, p
and (1 - p), for which kind of repair will ... for each kind has an exponential
distribution, but that the parameters for these two exponential distributions are
different.
Specifically, this distribution would assume that there are fixed probabilities, p
and (1 - p), for which kind of repair will ... for each kind has an exponential
distribution, but that the parameters for these two exponential distributions are
different.
Page 1146
(b) Now do this by using the table for the normal distribution given in Appendix 5
and applying the inverse transformation method. R 22.4-12. Obtaining uniform
random numbers as instructed at the beginning of the Problems section,
generate ...
(b) Now do this by using the table for the normal distribution given in Appendix 5
and applying the inverse transformation method. R 22.4-12. Obtaining uniform
random numbers as instructed at the beginning of the Problems section,
generate ...
Page 1149
Given X * 0, it has a uniform distribution between 5 and 15. Thus, £(X) = 1.
Obtaining uniform random numbers as instructed at the beginning of the
Problems section, use simulation to estimate £(X). (a) Estimate £(X) by
generating five random ...
Given X * 0, it has a uniform distribution between 5 and 15. Thus, £(X) = 1.
Obtaining uniform random numbers as instructed at the beginning of the
Problems section, use simulation to estimate £(X). (a) Estimate £(X) by
generating five random ...
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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 |