activity
20222026
most citedBit catastrophes for the Burrows-Wheeler Transform

3 citations · 4 across the 9 of their papers we have counts for

collaborators

11 papers

cs.DS2026

Computing Smallest Suffixient Arrays in Sublinear Time

Hiroto Fujimaru, Gonzalo Navarro, Francisco Olivares +3

A suffixient array is a novel data structure that, when combined with an index providing direct access on a text , allows us to answer a variety of pattern matching queries. In…

cs.DS2026

Incongruity-sensitive access to highly compressed strings

Ferdinando Cicalese, Zsuzsanna Lipták, Travis Gagie +3

Random access to highly compressed strings -- represented by straight-line programs or Lempel-Ziv parses, for example -- is a well-studied topic. Random access to such strings in s…

cs.FL2025

Smallest Suffixient Sets: Effectiveness, Resilience, and Calculation

Hiroto Fujimaru, Gonzalo Navarro, Giuseppe Romana +1

A suffixient set is a novel combinatorial object that captures the essential information of repetitive strings in a way that, provided with a random access mechanism, supports vari…

cs.DS2025

Generalization of Repetitiveness Measures for Two-Dimensional Strings

Lorenzo Carfagna, Giovanni Manzini, Giuseppe Romana +2

The problem of detecting and measuring the repetitiveness of one-dimensional strings has been extensively studied in data compression and text indexing. Our understanding of these…

cs.FL2025

Morphisms and BWT-run Sensitivity

Gabriele Fici, Giuseppe Romana, Marinella Sciortino +1

We study how the application of injective morphisms affects the number of equal-letter runs in the Burrows-Wheeler Transform (BWT). This parameter has emerged as a key repetiti…

cs.DS2024

Generalized Straight-Line Programs

Gonzalo Navarro, Francisco Olivares, Cristian Urbina

It was recently proved that any Straight-Line Program (SLP) generating a given string can be transformed in linear time into an equivalent balanced SLP of the same asymptotic size.…

cs.DS2024★ 1 cited

Exploring Repetitiveness Measures for Two-Dimensional Strings

Giuseppe Romana, Marinella Sciortino, Cristian Urbina

Detecting and measuring repetitiveness of strings is a problem that has been extensively studied in data compression and text indexing. However, when the data are structured in a n…

cs.DS2024★ 3 cited

Bit catastrophes for the Burrows-Wheeler Transform

Sara Giuliani, Shunsuke Inenaga, Zsuzsanna Lipták +3

A bit catastrophe, loosely defined, is when a change in just one character of a string causes a significant change in the size of the compressed string. We study this phenomenon fo…

cs.DS2024

Iterated Straight-Line Programs

Gonzalo Navarro, Cristian Urbina

We explore an extension to straight-line programs (SLPs) that outperforms, for some text families, the measure based on substring complexity, a lower bound for most measures an…

cs.DS2022

Balancing Run-Length Straight-Line Programs*

Gonzalo Navarro, Francisco Olivares, Cristian Urbina

It was recently proved that any SLP generating a given string can be transformed in linear time into an equivalent balanced SLP of the same asymptotic size. We show that this r…

cs.DS2022

L-systems for Measuring Repetitiveness*

Gonzalo Navarro, Cristian Urbina

An L-system (for lossless compression) is a CPD0L-system extended with two parameters and , which determines unambiguously a string , where is the mo…