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相关论文: Approximation Complexity of Max-Cut on Power Law G…

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In this paper we study the special case of Graphic TSP where the underlying graph is a power law graph (PLG). We give a refined analysis of some of the current best approximation algorithms and show that an improved approximation ratio can…

数据结构与算法 · 计算机科学 2015-09-15 Mikael Gast , Mathias Hauptmann , Marek Karpinski

We give logarithmic lower bounds for the approximability of the Minimum Dominating Set problem in connected (alpha,beta)-Power Law Graphs. We give also a best up to now upper approximation bound on the problem for the case of the parameters…

计算复杂性 · 计算机科学 2012-12-17 Mikael Gast , Mathias Hauptmann , Marek Karpinski

We unconditionally prove that it is NP-hard to compute a constant multiplicative approximation to the QUANTUM MAX-CUT problem on an unweighted graph of constant bounded degree. The proof works in two stages: first we demonstrate a generic…

量子物理 · 物理学 2025-10-10 Stephen Piddock

The Max-Cut problem is a fundamental NP-hard problem, which is attracting attention in the field of quantum computation these days. Regarding the approximation algorithm of the Max-Cut problem, algorithms based on semidefinite programming…

数据结构与算法 · 计算机科学 2022-03-01 Eiichiro Sato

An instance of the Connected Maximum Cut problem consists of an undirected graph G = (V, E) and the goal is to find a subset of vertices S $\subseteq$ V that maximizes the number of edges in the cut \delta(S) such that the induced graph…

数据结构与算法 · 计算机科学 2015-07-03 MohammadTaghi Hajiaghayi , Guy Kortsarz , Robert MacDavid , Manish Purohit , Kanthi Sarpatwar

We give the first nonconstant lower bounds for the approximability of the Independent Set Problem on the Power Law Graphs. These bounds are of the form $n^{\epsilon}$ in the case when the power law exponent satisfies $\beta <1$. In the case…

数据结构与算法 · 计算机科学 2015-03-11 Mathias Hauptmann , Marek Karpinski

We consider the max-cut and max-$k$-cut problems under graph-based constraints. Our approach can handle any constraint specified using monadic second-order (MSO) logic on graphs of constant treewidth. We give a $\frac{1}{2}$-approximation…

计算复杂性 · 计算机科学 2018-10-19 Martin Koutecký , Jon Lee , Viswanath Nagarajan , Xiangkun Shen

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…

数据结构与算法 · 计算机科学 2018-04-18 Yi-Kai Wang

In this paper we construct an approximation algorithm for the Minimum Vertex Cover Problem (Min-VC) with an expected approximation ratio of 2-f(beta) for random Power Law Graphs (PLG) in the (alpha,beta)-model of Aiello et. al., where…

数据结构与算法 · 计算机科学 2012-04-06 Mikael Gast , Mathias Hauptmann

The Max-Cut problem is known to be NP-hard on general graphs, while it can be solved in polynomial time on planar graphs. In this paper, we present a fixed-parameter tractable algorithm for the problem on `almost' planar graphs: Given an…

数据结构与算法 · 计算机科学 2019-05-27 Yasuaki Kobayashi , Yusuke Kobayashi , Shuichi Miyazaki , Suguru Tamaki

In this note, we describe a $\alpha_{GW} + \tilde{\Omega}(1/d^2)$-factor approximation algorithm for Max-Cut on weighted graphs of degree $\leq d$. Here, $\alpha_{GW}\approx 0.878$ is the worst-case approximation ratio of the…

数据结构与算法 · 计算机科学 2022-06-23 Jun-Ting Hsieh , Pravesh K. Kothari

In the simultaneous Max-Cut problem, we are given $k$ weighted graphs on the same set of $n$ vertices, and the goal is to find a cut of the vertex set so that the minimum, over the $k$ graphs, of the cut value is as large as possible.…

计算复杂性 · 计算机科学 2018-01-16 Amey Bhangale , Subhash Khot , Swastik Kopparty , Sushant Sachdeva , Devanathan Thiruvenkatachari

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…

数据结构与算法 · 计算机科学 2026-05-11 Kaisei Deguchi , Ken-ichi Kawarabayashi , Hiroaki Mori

We design new algorithms for approximating 2CSPs on graphs with bounded threshold rank, that is, whose normalized adjacency matrix has few eigenvalues larger than $\varepsilon$, smaller than $-\varepsilon$, or both. Unlike on worst-case…

数据结构与算法 · 计算机科学 2025-11-17 Prashanti Anderson , Samuel B. Hopkins , Amit Rajaraman , David Steurer

We present a polynomial-time $(\alpha_{GW} + \varepsilon)$-approximation algorithm for the Maximum Cut problem on interval graphs and split graphs, where $\alpha_{GW} \approx 0.878$ is the approximation guarantee of the Goemans-Williamson…

数据结构与算法 · 计算机科学 2025-07-15 Jungho Ahn , Ian DeHaan , Eun Jung Kim , Euiwoong Lee

We give a number of approximation metatheorems for monotone maximization problems expressible in the first-order logic, in substantially more general settings than the previously known. We obtain * constant-factor approximation algorithm in…

离散数学 · 计算机科学 2021-10-12 Zdeněk Dvořák

We study polynomial-time approximation algorithms for the Quantum Max-Cut (QMC) problem. Given an edge-weighted graph $G$ on n vertices, the QMC problem is to determine the largest eigenvalue of a particular $2^n \times 2^n$ matrix that…

量子物理 · 物理学 2025-04-16 Sander Gribling , Lennart Sinjorgo , Renata Sotirov

Assuming the Unique Games Conjecture (UGC), the best approximation ratio that can be obtained in polynomial time for the MAX CUT problem is $\alpha_{\text{CUT}}\simeq 0.87856$, obtained by the celebrated SDP-based approximation algorithm of…

计算复杂性 · 计算机科学 2023-04-13 Joshua Brakensiek , Neng Huang , Aaron Potechin , Uri Zwick

Consider the Maximum Weight Independent Set problem for rectangles: given a family of weighted axis-parallel rectangles in the plane, find a maximum-weight subset of non-overlapping rectangles. The problem is notoriously hard both in the…

数据结构与算法 · 计算机科学 2016-11-22 Michał Pilipczuk , Erik Jan van Leeuwen , Andreas Wiese

We study the MaxCut problem for graphs $G=(V,E)$. The problem is NP-hard, there are two main approximation algorithms with theoretical guarantees: (1) the Goemans \& Williamson algorithm uses semi-definite programming to provide a…

数据结构与算法 · 计算机科学 2021-04-30 Stefan Steinerberger
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