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Everywhere-$\delta$-dense graphs are defined as graphs on $n$ vertices in which every vertex has degree at least $\delta n$ for some constant $\delta > 0$. Approximation schemes are vital for handling NP-hard optimization problems, but for…

Data Structures and Algorithms · Computer Science 2026-05-11 Kaisei Deguchi , Ken-ichi Kawarabayashi , Hiroaki Mori

In this paper we use several of the key ideas from Bidimensionality to give a new generic approach to design EPTASs and subexponential time parameterized algorithms for problems on classes of graphs which are not minor closed, but instead…

Data Structures and Algorithms · Computer Science 2011-11-08 Fedor V. Fomin , Daniel Lokshtanov , Saket Saurabh

We consider two optimization problems in planar graphs. In Maximum Weight Independent Set of Objects we are given a graph $G$ and a family $\mathcal{D}$ of objects, each being a connected subgraph of $G$ with a prescribed weight, and the…

Data Structures and Algorithms · Computer Science 2018-07-23 Michał Pilipczuk , Erik Jan van Leeuwen , Andreas Wiese

A (unit) disk graph is the intersection graph of closed (unit) disks in the plane. Almost three decades ago, an elegant polynomial-time algorithm was found for \textsc{Maximum Clique} on unit disk graphs [Clark, Colbourn, Johnson; Discrete…

The local search framework for obtaining PTASs for NP-hard geometric optimization problems was introduced, independently, by Chan and Har-Peled (2009) and Mustafa and Ray (2010). In this paper, we generalize the framework by extending its…

Computational Geometry · Computer Science 2012-09-25 Rom Aschner , Matthew J. Katz , Gila Morgenstern , Yelena Yuditsky

We propose a polynomial-time algorithm which takes as input a finite set of points of $\mathbb R^3$ and compute, up to arbitrary precision, a maximum subset with diameter at most $1$. More precisely, we give the first randomized EPTAS and…

Computational Geometry · Computer Science 2018-04-12 Marthe Bonamy , Édouard Bonnet , Nicolas Bousquet , Pierre Charbit , Stéphan Thomassé

The theoretical models providing mathematical abstractions for several significant optimization problems in machine learning, combinatorial optimization, computer vision and statistical physics have intrinsic similarities. We propose a…

Data Structures and Algorithms · Computer Science 2018-04-18 Yi-Kai Wang

We study classic scheduling problems on uniformly related machines. Efficient polynomial time approximation schemes (EPTAS's) are fast and practical approximation schemes. New methods and techniques are essential in developing such improved…

Data Structures and Algorithms · Computer Science 2014-04-04 Leah Epstein , Asaf Levin

Retraction note: After posting the manuscript on arXiv, we were informed by Erik Jan van Leeuwen that both results were known and they appeared in his thesis[vL09]. A PTAS for MDS is at Theorem 6.3.21 on page 79 and A PTAS for MCDS is at…

Data Structures and Algorithms · Computer Science 2021-09-20 Jittat Fakcharoenphol , Pattara Sukprasert

We investigate a fundamental vertex-deletion problem called (Induced) Subgraph Hitting: given a graph $G$ and a set $\mathcal{F}$ of forbidden graphs, the goal is to compute a minimum-sized set $S$ of vertices of $G$ such that $G-S$ does…

Data Structures and Algorithms · Computer Science 2023-12-05 Zdeněk Dvořák , Daniel Lokshtanov , Fahad Panolan , Saket Saurabh , Jie Xue , Meirav Zehavi

Finding a smallest subgraph that is k-edge-connected, or augmenting a k-edge-connected graph with a smallest subset of given candidate edges to become (k+1)-edge-connected, are among the most fundamental Network Design problems. They are…

Data Structures and Algorithms · Computer Science 2025-12-25 Meike Neuwohner , Vera Traub , Rico Zenklusen

We study approximability of subdense instances of various covering problems on graphs, defined as instances in which the minimum or average degree is Omega(n/psi(n)) for some function psi(n)=omega(1) of the instance size. We design new…

Data Structures and Algorithms · Computer Science 2010-11-10 Jean Cardinal , Marek Karpinski , Richard Schmied , Claus Viehmann

$\newcommand{\eps}{\varepsilon}$ We observe that a $(1-\eps)$-approximation algorithm to Independent Set, that works for any induced subgraph of the input graph, can be used, via a polynomial time reduction, to provide a…

Computational Geometry · Computer Science 2026-02-23 Sariel Har-Peled

We consider the Vertex Cover problem in intersection graphs of axis-parallel rectangles on the plane. We present two algorithms: The first is an EPTAS for non-crossing rectangle families, rectangle families $\calR$ where $R_1 \setminus R_2$…

Data Structures and Algorithms · Computer Science 2010-01-20 Reuven Bar-Yehuda , Danny Hermelin , Dror Rawitz

A (unit) disk graph is the intersection graph of closed (unit) disks in the plane. Almost three decades ago, an elegant polynomial-time algorithm was found for \textsc{Maximum Clique} on unit disk graphs [Clark, Colbourn, Johnson; Discrete…

Computational Geometry · Computer Science 2018-03-01 Édouard Bonnet , Panos Giannopoulos , Eun Jung Kim , Paweł Rzążewski , Florian Sikora

Bidimensionality theory is a powerful framework for the development of metaalgorithmic techniques. It was introduced by Demaine et al. as a tool to obtain sub-exponential time parameterized algorithms for problems on H-minor free graphs.…

Data Structures and Algorithms · Computer Science 2015-03-17 Fedor V. Fomin , Daniel Lokshtanov , Venkatesh Raman , Saket Saurabh

We consider the problem of partitioning the set of vertices of a given unit disk graph (UDG) into a minimum number of cliques. The problem is NP-hard and various constant factor approximations are known, with the current best ratio of 3.…

Computational Geometry · Computer Science 2015-05-13 Imran A. Pirwani , Mohammad R. Salavatipour

The main results of this paper provide an Efficient Polynomial-Time Approximation Scheme (EPTAS) for approximating the genus (and non-orientable genus) of dense graphs. By dense we mean that $|E(G)|\ge \alpha |V(G)|^2$ for some fixed…

Combinatorics · Mathematics 2024-08-28 Yifan Jing , Bojan Mohar

In this paper, we propose a general framework to design {efficient} polynomial time approximation schemes (EPTAS) for fundamental stochastic combinatorial optimization problems. Given an error parameter $\epsilon>0$, such algorithmic…

Data Structures and Algorithms · Computer Science 2025-05-30 Danny Segev , Sahil Singla

The Connected Vertex Cover problem, where the goal is to compute a minimum set of vertices in a given graph which forms a vertex cover and induces a connected subgraph, is a fundamental combinatorial problem and has received extensive…

Data Structures and Algorithms · Computer Science 2020-04-30 Diptapriyo Majumdar , M. S. Ramanujan , Saket Saurabh
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