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The SMAWK algorithm is an algorithm for finding the minimum value in each row of an implicitly defined totally monotone matrix. It is named after the initials of its five inventors, Peter Shor, Shlomo Moran, Alok Aggarwal, Robert Wilber, and Maria Klawe.
Applications, Method & Input
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algorithm matrix monotone rows columns defined totally value row applications minima function smawk finding minimum aggarwal input method equal every
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SMAWK algorithm | is a | algorithm for finding the minimum value in each row of an implicitly defined totally monotone matrix | 0.90 | text |
| SMAWK algorithm | related to Input | For | 0.60 | section |
| SMAWK algorithm | related to Input | It | 0.60 | section |
| SMAWK algorithm | related to Input | Equivalently | 0.60 | section |
| SMAWK algorithm | related to Input | Every Monge | 0.60 | section |
| SMAWK algorithm | related to Input | SMAWK | 0.60 | section |
| SMAWK algorithm | related to Input | The | 0.60 | section |
| SMAWK algorithm | related to Input | If | 0.60 | section |
| SMAWK algorithm | related to Input | This | 0.60 | section |
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