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Titlebook: Combinatorial Pattern Matching; 21st Annual Symposiu Amihood Amir,Laxmi Parida Conference proceedings 2010 Springer-Verlag Berlin Heidelber

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Ramesh K. Singh,Shreyes N. Melkotehing problem for two types of sub-forests: closed subforests and closed substructures. As RNA molecules’ secondary structures could be represented as ordered labelled forests, our algorithms can be used to locate the structural or functional regions in RNA secondary structures.
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https://doi.org/10.1007/978-3-031-27926-3ess. This result means not only that there are extremely efficient parallel solutions but also reveals further insight into the structural properties of image matching. The completeness in . relates affine image matching to a number of most basic problems in computer science, like integer multiplication and division.
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Femi Olokesusi,Femi Ola Aiyegbajejefor . = 0 and in .(|.|.)-time otherwise. We provide a complete proof of the correctness and computational complexity of the algorithm. The algorithm can be used to detect certain types of pseudo-patterns in words, which was our original goal in studying this generalization.
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Old and New in Stringology,t string(s) and can use only very limited space. Surprisingly, efficient algorithms were discovered for a number of string problems..The talk will conclude with new open problems that are raised by these new results.
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