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 166
The two basic factors that determine the performance of an algorithm on a real prob- lem are the average computer time per iteration and the number of iterations . Our next comparisons concern these factors .
The two basic factors that determine the performance of an algorithm on a real prob- lem are the average computer time per iteration and the number of iterations . Our next comparisons concern these factors .
Page 330
7.7 the reconfigured feasible re- gion after rescaling based on the trial solution just obtained for iteration 3. ... 7.5 , 7.6 , and 7.7 how the se- quence of iterations and rescaling have the effect of " sliding " the optimal solution ...
7.7 the reconfigured feasible re- gion after rescaling based on the trial solution just obtained for iteration 3. ... 7.5 , 7.6 , and 7.7 how the se- quence of iterations and rescaling have the effect of " sliding " the optimal solution ...
Page 371
At each iteration , after the difference for every row and column remaining un- der consideration is calculated and displayed , the largest difference is circled and the small- est unit cost in its row or column is enclosed in a box .
At each iteration , after the difference for every row and column remaining un- der consideration is calculated and displayed , the largest difference is circled and the small- est unit cost in its row or column is enclosed in a box .
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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 |