For a minimization problem parameterized by the solution size k, a factor-α FPT-approximation algorithm is an algorithm that runs in time f(k) · nO(1), and ...
These algorithms build upon a novel scheme to reduce the weighted problem to an unweighted instance and then invoke the FPT (approximation) algorithm for the ...
Jan 7, 2021 · We design FPT-approximation algorithms for problems that are FPT, with running times that are significantly faster than the corresponding best known FPT- ...
Abstract. Over the past decade, many results have focused on the design of parameterized approximation algorithms for. W[1]-hard problems.
Oct 5, 2023 · This paper is to present novel algorithmic meta-theorems that expand the impact of these structural parameters to the area of FPT Approximation.
Mar 20, 2011 · Finally, an FPT approximation algorithm is an algorithm with FPT running time and an approximation ratio which may depend on the parameter.
Mar 21, 2021 · We design FPT-approximation algorithms for problems that are FPT, with running times that are significantly faster than the corresponding best ...
Aug 7, 2024 · FPT-approximation for FPT Problems. Open Webpage · Daniel Lokshtanov, Pranabendu Misra, M. S. Ramanujan, Saket Saurabh, Meirav Zehavi. Published ...
Apr 29, 2018 · I'm looking for problems that are hard to solve in FPT time but has an approximation algorithm. That is, problems that are: R1. W[1]-hard. R2. Admit a ( ...
A parameterized approximation algorithm is a type of algorithm that aims to find approximate solutions to NP-hard optimization problems in polynomial time