Methods of computing square roots

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In computer science, the shortest common supersequence problem is a problem closely related to the longest common subsequence problem. Given two sequences X = < x1,...,xm > and Y = < y1,...,yn >, a sequence U = < u1,...,uk > is a common supersequence of X and Y if U is a supersequence of both X and Y. In other words, the shortest common supersequence between strings x and y is the shortest string z such that both x and y are subsequences of z.

The shortest common supersequence (scs) is a common supersequence of minimal length. In the shortest common supersequence problem, the two sequences X and Y are given and the task is to find a shortest possible common supersequence of these sequences. In general, the scs is not unique.

For two input sequences, an scs can be formed from a longest common subsequence (lcs) easily. For example, if X[1..m]=abcbdab and Y[1..n]=bdcaba, the lcs is Z[1..r]=bcba. By inserting the non-lcs symbols while preserving the symbol order, we get the scs: U[1..t]=abdcabdab.

It is quite clear that r+t=m+n for two input sequences. However, for three or more input sequences this does not hold. Note also, that the lcs and the scs problems are not dual problems.

References

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  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534

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