Fpt Approximation Algorithms

FPT Approximation Algorithm is an algorithmic paradigm within parameterized complexity theory that, for a given optimization problem parameterized by a specific parameter, computes an approximate solution in time bounded by a function of the parameter multiplied by a polynomial in the input size, thereby distinguishing itself from classical approximation algorithms by allowing the approximation ratio and runtime dependence on the parameter to be decoupled.

69

Publications

2.3K

Citations

148

Authors

88

Institutions

Publications per year

2017–2026

30

Authors

148

  1. SS
    Saket Saurabh

    Institute of Mathematical Sciences, India

    6 publications · 220 citations

    6

    h-index

  2. MC
    Marek Cygan

    University of Warsaw, Poland

    5 publications · 176 citations

    5

    h-index

  3. PS
    Piotr Skowron

    University of Warsaw, Poland

    5 publications · 107 citations

    5

    h-index

  4. PF
    Piotr Faliszewski

    AGH University of Krakow, Poland

    5 publications · 132 citations

    5

    h-index

  5. YI
    Yoichi Iwata

    The University of Tokyo, Japan

    4 publications · 267 citations

    4

    h-index

1–5 of 148

Venues

  1. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 8 publications · 133 citations

    8

    h-index

  2. Algorithmica

    7 publications · 324 citations

    7

    h-index

  3. Theoretical Computer Science

    5 publications · 182 citations

    5

    h-index

  4. SIAM Journal on Computing

    4 publications · 176 citations

    4

    h-index

  5. Information Processing Letters

    4 publications · 103 citations

    4

    h-index

1–5