Arrow Research search
Back to TCS

TCS 2016

Permuted scaled matching

Journal Article journal-article Computer Science ยท Theoretical Computer Science

Abstract

Scaled matching and permutation matching are two well known paradigms in the domain of pattern matching. Scaled matching refers to finding an occurrence of a pattern which is enlarged proportionally by some scale k within a larger text. Permutation matching is the problem of finding all substrings within a text where the character statistics of the substring and the pattern are the same. Permutation matching is easy, while scaled matching requires innovative solutions. One interesting setting of applications is the merge of the two. The problem of scaled permuted matching (i. e. first permuting and then scaling) has been addressed and solved optimally. However, it was left as an open problem whether there are efficient algorithms for permuted scaled matching. In this paper we solve the problem efficiently in a deterministic setting and optimally in a randomized setting.

Authors

Keywords

  • Pattern matching
  • Scaled matching
  • Jumbled matching

Context

Venue
Theoretical Computer Science
Archive span
1975-2026
Indexed papers
16261
Paper id
710613269193294583
v2026.09.13