From FPT Decision to FPT Enumeration

Fuente: arXiv
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Autores principales: Creignou, Nadia, Merkl, Timo Camillo, Pichler, Reinhard, Unterberger, Daniel
Formato: Preprint
Publicado: 2025
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author Creignou, Nadia
Merkl, Timo Camillo
Pichler, Reinhard
Unterberger, Daniel
author_facet Creignou, Nadia
Merkl, Timo Camillo
Pichler, Reinhard
Unterberger, Daniel
contents Fixed-parameter tractable (FPT) algorithms have been successfully applied to many intractable problems -- with a focus on decision and optimization problems. Their aim is to confine the exponential explosion to some parameter, while the time complexity only depends polynomially on the instance size. In contrast, intractable enumeration problems have received comparatively little attention so far. The goal of this work is to study how FPT decision algorithms could be turned into FPT enumeration algorithms. We thus inspect several fundamental approaches for designing FPT decision or optimization algorithms and we present ideas how they can be extended to FPT enumeration algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2512_24137
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle From FPT Decision to FPT Enumeration
Creignou, Nadia
Merkl, Timo Camillo
Pichler, Reinhard
Unterberger, Daniel
Computational Complexity
Fixed-parameter tractable (FPT) algorithms have been successfully applied to many intractable problems -- with a focus on decision and optimization problems. Their aim is to confine the exponential explosion to some parameter, while the time complexity only depends polynomially on the instance size. In contrast, intractable enumeration problems have received comparatively little attention so far. The goal of this work is to study how FPT decision algorithms could be turned into FPT enumeration algorithms. We thus inspect several fundamental approaches for designing FPT decision or optimization algorithms and we present ideas how they can be extended to FPT enumeration algorithms.
title From FPT Decision to FPT Enumeration
topic Computational Complexity
url https://arxiv.org/abs/2512.24137