Algorithms for Identifying Sequence Patterns with Several Types of Occurrence Constraints

Abstract

In this paper we present efficient algorithmic techniques for identifying several types of sequence-related patterns. We consider two main problems: finding a maximum weight contiguous subsequence which has the structure of a permutation with repetitions, and an online problem consisting of the constrained guessing of a secret sequence.