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
00 is the trial solution for iteration 3 . 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 ...
00 is the trial solution for iteration 3 . 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 ...
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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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate 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 resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero