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
problem are the average computer time per iteration and the number of iterations
. Our next comparisons concern these factors . Interior - point algorithms are far ...
The two basic factors that determine the performance of an algorithm on a real
problem are the average computer time per iteration and the number of iterations
. Our next comparisons concern these factors . Interior - point algorithms are far ...
Page 330
Since there is little to be learned by repeating these calculations for additional
iterations , we shall stop here . However , we do show in Fig . 7.7 the
reconfigured feasible region after rescaling based on the trial solution just
obtained for iteration ...
Since there is little to be learned by repeating these calculations for additional
iterations , we shall stop here . However , we do show in Fig . 7.7 the
reconfigured feasible region after rescaling based on the trial solution just
obtained for iteration ...
Page 371
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
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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 |