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DigitalCommons@USU
Other literature type . 1973
Data sources: DigitalCommons@USU
https://dx.doi.org/10.26076/a2...
Other literature type . 1973
Data sources: Datacite
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Integer Programming by Cutting Planes Methods

Authors: Wu, Sung-Yen;

Integer Programming by Cutting Planes Methods

Abstract

Linear programming is a relatively new, very important branch of modern mathematics and is about twenty five years old. In this day and age, most planners and decision makers will acknowledge that some linear optimization problems are worth the expense and trouble to solve. Using linear programming technique as a tool to make decision plannes are able to greatly redice cost or increase profit for any project under consideration. Since Dr. George B. Dantzig published his first paper on the simplex method in 1947, progress in that field has been rapid. Although the first applications were military in nature, it was not long before it became apparent that there were important economic and industrial applications as well. Typical areas of application in linear programming are inventory control, quality control, production scheduling, forecasting, maintenance and repairs, process design, accounting procedures, capital budgeting, the diet problem, machine- loading problem, and the transportation problem.

Country
United States
Related Organizations
Keywords

Statistics and Probability, 000, Applied Statistics, integer programming, programming, cutting planes method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green