Difference between revisions of "Open Problems:61"
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| − | An RNA sequence is a string of letters from the alphabet {A, C, G, U}, where A-U and C-G form pairings. A set of pairings in such a string is said to be non-crossing if there are no pairs of the form $(i, j), (k, l)$ where $i < k < j$. | + | An RNA sequence is a string of letters from the alphabet {A, C, G, U}, where A-U and C-G form pairings. A set of pairings in such a string is said to be non-crossing if there are no pairs of the form $(i, j), (k, l)$ where $i < k < j < l$. |
A maximum non-crossing matching is a pairing of A-U and C-G of maximum cardinality that is non-crossing. Given a string, such a matching can be computed in $n^2$ space and $n^3$ time via dynamic programming. | A maximum non-crossing matching is a pairing of A-U and C-G of maximum cardinality that is non-crossing. Given a string, such a matching can be computed in $n^2$ space and $n^3$ time via dynamic programming. | ||
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Note that there is a trivial 2-approximation to the optimal matching. Find the optimal matchings on the A, U and C, G subsequences, and take the larger one. This can be computed in a stream. | Note that there is a trivial 2-approximation to the optimal matching. Find the optimal matchings on the A, U and C, G subsequences, and take the larger one. This can be computed in a stream. | ||
| − | Is there a streaming algorithm that yields a factor better than 2 ? | + | Is there a streaming algorithm that yields a factor better than 2 (in a small number of passes)? |
Revision as of 12:00, 1 June 2014
| Suggested by | Qin Zhang |
|---|---|
| Source | Bertinoro 2014 |
| Short link | https://sublinear.info/61 |
An RNA sequence is a string of letters from the alphabet {A, C, G, U}, where A-U and C-G form pairings. A set of pairings in such a string is said to be non-crossing if there are no pairs of the form $(i, j), (k, l)$ where $i < k < j < l$.
A maximum non-crossing matching is a pairing of A-U and C-G of maximum cardinality that is non-crossing. Given a string, such a matching can be computed in $n^2$ space and $n^3$ time via dynamic programming.
Note that there is a trivial 2-approximation to the optimal matching. Find the optimal matchings on the A, U and C, G subsequences, and take the larger one. This can be computed in a stream.
Is there a streaming algorithm that yields a factor better than 2 (in a small number of passes)?
