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 ...
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 ...
Page 613
Also included in the OR Courseware is an interactive routine for executing this algorithm . As usual , the Excel , LINGO / LINDO , and MPL / CPLEX ... The algorithms they use for BIP problems all are similar to the one described above .
Also included in the OR Courseware is an interactive routine for executing this algorithm . As usual , the Excel , LINGO / LINDO , and MPL / CPLEX ... The algorithms they use for BIP problems all are similar to the one described above .
Page 698
Although these algorithms are particularly suitable for linearly constrained optimization problems , some also can ... As one example of a sequential - approximation algorithm , we present here the FrankWolfe algorithm for the case of ...
Although these algorithms are particularly suitable for linearly constrained optimization problems , some also can ... As one example of a sequential - approximation algorithm , we present here the FrankWolfe algorithm for the case of ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
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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 |