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Algorithms for Transposition Invariant String Matching

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Veli Mäkinen, Gonzalo Navarro and Esko Ukkonen

Given strings *A* and *B* over an alphabet *S* subset of *U*
where *U* is some numerical universe closed under addition and subtraction,
and a distance function *d(A,B)* that gives the score of the best (partial)
matching of *A* and *B* the *transposition invariant distance* is
*min {d(A+t,B), t in U}* where *A+t = (a(1)+t)(a(2)+t)...(a(m)+t)*.
We study the problem of computing the transposition invariant distance for
various distance (and similarity) functions *d* that are different versions
of edit distance.
For all these problems we give algorithms whose time complexities are close
to the known upper bounds without transposition invariance. In particular, we
show how sparse dynamic programming can be used to solve transposition
invariant problems.