Approximate Hamming Distance in a Stream

Inverse Maximum Dynamic Flow Problem under the Sum-Type Weighted Hamming Distance

Inverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inv...

Bit-parallel approximate string matching under Hamming distance

Approximate Regular Expression Matching

We extend the de nition of Hamming and Levenshtein distance between two strings used in approximate string matching so that these two distances can be used also in approximate regular expression matching. Next, the methods of construction of nondeterministic nite automata for approximate regular expression matching considering both mentioned distances are presented.

On the inverse maximum perfect matching problem under the bottleneck-type Hamming distance

Given an undirected network G(V,A,c) and a perfect matching M of G, the inverse maximum perfect matching problem consists of modifying minimally the elements of c so that M becomes a maximum perfect matching with respect to the modified vector. In this article, we consider the inverse problem when the modifications are measured by the weighted bottleneck-type Hamming distance. We propose an alg...

Fast and Simple Computations Using Prefix Tables Under Hamming and Edit Distance

In this article, we introduce a new and simple data structure, the prefix table under Hamming distance, and present two algorithms to compute it efficiently: one asymptotically fast; the other very fast on average and in practice. Because the latter approach avoids the computation of global data structures, such as the suffix array and the longest common prefix array, it yields algorithms much ...