We say that a family W of strings over Σ+ forms a Unique Maximal Factorization Family if and only if for every w∈ W, w has a unique maximal factorization. Then an UMFF W is a circ-UMFF whenever it contains exactly one rotation of every primitive string x∈ Σ+. V-order is a non-lexicographical total ordering on strings that determines a circ-UMFF. In this paper we propose a generalization of circ-UMFF called the substring circ-UMFF and extend the combinatorial research on V-order by investigating connections to Lyndon words. Then we extend concepts to considering any total order. Applications of this research arise in efficient text indexing, compression, and search tasks.</p
Motivated by applications to string processing, we introduce variants of the Lyndon factorization ca...
There are two reasons to have an efficient algorithm for identifying all right-maximal Lyndon substr...
AbstractAny word can be decomposed uniquely into lexicographically nonincreasing factors each one of...
Suppose a set W of strings contains exactly one rotation (cyclic shift) of every primitive string on...
AbstractWe say a family W of strings is an UMFF if every string has a unique maximal factorization o...
In this paper we describe algorithms for factoring words over sets of strings known as circ-UMFFs, g...
In this paper we extend previous work on unique maximal factorization families (UMFFs) and a total (...
V-order is a global order on strings related to Unique Maximal Factorization Families (UMFFs), thems...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a global order on strings related to Unique Maximal Factorization Families (UMFFs), which...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
In this note we consider the concept of alphabet ordering in the context of string factoring. We pro...
Motivated by applications to string processing, we introduce variants of the Lyndon factorization ca...
There are two reasons to have an efficient algorithm for identifying all right-maximal Lyndon substr...
AbstractAny word can be decomposed uniquely into lexicographically nonincreasing factors each one of...
Suppose a set W of strings contains exactly one rotation (cyclic shift) of every primitive string on...
AbstractWe say a family W of strings is an UMFF if every string has a unique maximal factorization o...
In this paper we describe algorithms for factoring words over sets of strings known as circ-UMFFs, g...
In this paper we extend previous work on unique maximal factorization families (UMFFs) and a total (...
V-order is a global order on strings related to Unique Maximal Factorization Families (UMFFs), thems...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
V-order is a global order on strings related to Unique Maximal Factorization Families (UMFFs), which...
V-order is a total order on strings that determines an instance of Unique Maximal Factorization Fami...
In this note we consider the concept of alphabet ordering in the context of string factoring. We pro...
Motivated by applications to string processing, we introduce variants of the Lyndon factorization ca...
There are two reasons to have an efficient algorithm for identifying all right-maximal Lyndon substr...
AbstractAny word can be decomposed uniquely into lexicographically nonincreasing factors each one of...