A generalization of the compressed string pattern match that applies to terms with variables is investigated: Given terms s and t compressed by singleton tree grammars, the task is to find an instance of s that occurs as a subterm in t. We show that this problem is in NP and that the task can be performed in time O(n c|Var(s) |), including the construction of the compressed substitution, and a representation of all occurrences. We show that the special case where s is uncompressed can be performed in polynomial time. As a nice application we show that for an equational deduction of t to t ′ by an equality axiom l = r (a rewrite) a single step can be performed in polynomial time in the size of compression of t and l, r if the number of varia...
Let S be a string of length N compressed into a context-free grammar S of size n. We present two rep...
We present an algorithm for searching regular expression matches in compressed text. The algorithm r...
Abstract. Motivated by the imminent growth of massive, highly redun-dant genomic databases we study ...
A generalization of the compressed string pattern match that applies to terms with variables is inve...
This paper is an extended abstract of an analysis of term rewriting where the terms in the rewrite r...
This paper is an extended abstract of an analysis of term rewriting where the terms in the rewrite r...
We consider the problem of finding an instance of a string-pattern s in a given string under compres...
This paper is an investigation of the matching problem for term equations s = t where s contains con...
. We survey the complexity issues related to several algorithmic problems for compressed one- and tw...
Term unification plays an important role in many areas of computer science, especially in those rela...
First-order term unification is an essential concept in areas like functional and logic programming,...
In this article, a fully compressed pattern matching problem is studied. The compression is represen...
We present an application of a local recompression technique, previously developed by the author in ...
AbstractWe present a simple algorithm which for an explicitly given input string pat (a pattern) and...
We present a simple algorithm which for an explicitly given input string pat (a pattern) and a stand...
Let S be a string of length N compressed into a context-free grammar S of size n. We present two rep...
We present an algorithm for searching regular expression matches in compressed text. The algorithm r...
Abstract. Motivated by the imminent growth of massive, highly redun-dant genomic databases we study ...
A generalization of the compressed string pattern match that applies to terms with variables is inve...
This paper is an extended abstract of an analysis of term rewriting where the terms in the rewrite r...
This paper is an extended abstract of an analysis of term rewriting where the terms in the rewrite r...
We consider the problem of finding an instance of a string-pattern s in a given string under compres...
This paper is an investigation of the matching problem for term equations s = t where s contains con...
. We survey the complexity issues related to several algorithmic problems for compressed one- and tw...
Term unification plays an important role in many areas of computer science, especially in those rela...
First-order term unification is an essential concept in areas like functional and logic programming,...
In this article, a fully compressed pattern matching problem is studied. The compression is represen...
We present an application of a local recompression technique, previously developed by the author in ...
AbstractWe present a simple algorithm which for an explicitly given input string pat (a pattern) and...
We present a simple algorithm which for an explicitly given input string pat (a pattern) and a stand...
Let S be a string of length N compressed into a context-free grammar S of size n. We present two rep...
We present an algorithm for searching regular expression matches in compressed text. The algorithm r...
Abstract. Motivated by the imminent growth of massive, highly redun-dant genomic databases we study ...