Edit Distance in Near-Linear Time: it's a Constant Factor
We present an algorithm for approximating the edit distance between two strings of length n in time n^{1+\epsilon} , for any \epsilon > 0 , up to a constant factor. Our result completes a research direction set forth in the recent breakthrough paper [1], which showed the first constant-factor app...
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| Vydáno v: | Proceedings / annual Symposium on Foundations of Computer Science s. 990 - 1001 |
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01.11.2020
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| ISSN: | 2575-8454 |
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| Abstract | We present an algorithm for approximating the edit distance between two strings of length n in time n^{1+\epsilon} , for any \epsilon > 0 , up to a constant factor. Our result completes a research direction set forth in the recent breakthrough paper [1], which showed the first constant-factor approximation algorithm with a (strongly) sub-quadratic running time. The recent results [2], [3] have shown near-linear complexity only under the restriction that the edit distance is close to maximal (equivalently, there is a near-linear additive approximation). In contrast, our algorithm obtains a constant-factor approximation in near-linear running time for any input strings. |
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| AbstractList | We present an algorithm for approximating the edit distance between two strings of length n in time n^{1+\epsilon} , for any \epsilon > 0 , up to a constant factor. Our result completes a research direction set forth in the recent breakthrough paper [1], which showed the first constant-factor approximation algorithm with a (strongly) sub-quadratic running time. The recent results [2], [3] have shown near-linear complexity only under the restriction that the edit distance is close to maximal (equivalently, there is a near-linear additive approximation). In contrast, our algorithm obtains a constant-factor approximation in near-linear running time for any input strings. |
| Author | Nosatzki, Negev Shekel Andoni, Alexandr |
| Author_xml | – sequence: 1 givenname: Alexandr surname: Andoni fullname: Andoni, Alexandr organization: Columbia University – sequence: 2 givenname: Negev Shekel surname: Nosatzki fullname: Nosatzki, Negev Shekel organization: Columbia University |
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| Snippet | We present an algorithm for approximating the edit distance between two strings of length n in time n^{1+\epsilon} , for any \epsilon > 0 , up to a constant... |
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| StartPage | 990 |
| SubjectTerms | Additives Approximation algorithms Complexity theory edit distance fine-grained complexity Measurement Signal processing algorithms sublinear algorithms Transforms |
| Title | Edit Distance in Near-Linear Time: it's a Constant Factor |
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