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. |
From inside the book
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Page 591
For example , suppose that an IP problem has just two general integer variables x1 and x2 along with many binary variables . Also suppose that the problem has nonnegativity constraints for both x1 and x2 and that the functional ...
For example , suppose that an IP problem has just two general integer variables x1 and x2 along with many binary variables . Also suppose that the problem has nonnegativity constraints for both x1 and x2 and that the functional ...
Page 1202
Decision analysis - Cont . decision making with experimentation - Cont . posterior probabilities , 758-762 probability tree diagram , 760 prototype example , 758 value of experimentation , 762-764 decision making without experimentation ...
Decision analysis - Cont . decision making with experimentation - Cont . posterior probabilities , 758-762 probability tree diagram , 760 prototype example , 758 value of experimentation , 762-764 decision making without experimentation ...
Page 1206
... 810-812 absorbing state , 811-812 periodicity properties , 812 recurrent and transition states , 811-812 continuous time , 864 , 879 in birth and death process , 848 example , 826-827 formulation , 822-823 key random variables ...
... 810-812 absorbing state , 811-812 periodicity properties , 812 recurrent and transition states , 811-812 continuous time , 864 , 879 in birth and death process , 848 example , 826-827 formulation , 822-823 key random variables ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |