University of Cagliari
Practical Performance of Random Projections in Linear Programming
Benedetto Manca;
2022-01-01
Abstract
The use of random projections in mathematical programming allows standard solution algorithms to solve instances of much larger sizes, at least approximately. Approximation results have been derived in the relevant literature for many specific problems, as well as for several mathematical programming subclasses. Despite the theoretical developments, it is not always clear that random projections are actually useful in solving mathematical programs in practice. In this paper we provide a computational assessment of the application of random projections to linear programming.
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| File | Size | Format | |
|---|---|---|---|
| HAL-Practical Performance of Random Projections in Linear Programming.pdf open access
Type: versione editoriale
Size 2.22 MB
Format Adobe PDF
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2.22 MB | Adobe PDF | View/Open |
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