On Finding Minimum Splitting of Pattern in Multi-Track String Matching
Kjell Lemström and Veli Mäkinen
Given a pattern string P = p_1 ... p_m and K parallel text strings 
T^{k} = t^{k}_{1} ... t^{k}_{n}, 1 <= k <= K, over an integer 
alphabet, our task is to find the smallest integer s>0 such that 
P can be split into s pieces P = P^{1} ... P^{s}, where each 
P^{i} has an occurrence in some text track T^{k_{i}} and these 
partial occurrences retain the order.
We study some variations of this minimum splitting problem, 
such as splittings with limited gaps and transposition 
invariance, and show how to use sparse dynamic 
programming to solve the variations efficiently. 
In particular, we show that the minimum splitting problem 
can be interpreted as a shortest path problem on line segments.