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Journal ArticleDOI

Elimination graphs

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TLDR
It turns out that if the authors take <i>P</i> as a graph with maximum independent set size no greater than <i*k</i>, then this definition gives a natural generalization of both chordal graphs and (<i-k + 1)-claw-free graphs.
Abstract
In this article we study graphs with inductive neighborhood properties. Let P be a graph property, a graph G = (V, E) with n vertices is said to have an inductive neighborhood property with respect to P if there is an ordering of vertices v1, …, vn such that the property P holds on the induced subgraph G[N(vi)∩ Vi], where N(vi) is the neighborhood of vi and Vi = {vi, …, vn}. It turns out that if we take P as a graph with maximum independent set size no greater than k, then this definition gives a natural generalization of both chordal graphs and (k + 1)-claw-free graphs. We refer to such graphs as inductive k-independent graphs. We study properties of such families of graphs, and we show that several natural classes of graphs are inductive k-independent for small k. In particular, any intersection graph of translates of a convex object in a two dimensional plane is an inductive 3-independent graph; furthermore, any planar graph is an inductive 3-independent graph. For any fixed constant k, we develop simple, polynomial time approximation algorithms for inductive k-independent graphs with respect to several well-studied NP-complete problems. Our generalized formulation unifies and extends several previously known results.

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Citations
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Journal ArticleDOI

Wireless scheduling with power control

TL;DR: In this article, the authors considered the problem of scheduling arbitrary wireless links in the physical model of interference to minimize the time for satisfying all requests, and gave an algorithm that achieves an approximation ratio of O(log n c log log Δ), where n is the number of links and Δ is the ratio between the longest and the shortest link length.
Proceedings ArticleDOI

Approximation algorithms for secondary spectrum auctions

TL;DR: A novel LP formulation for combinatorial auctions with conflict graph using a non-standard graph parameter, the so-called inductive independence number, is suggested to bypass the well-known lower bound of Ω(n1-ε) on the approximability of independent set in general graphs with n nodes (bidders).
Journal Article

A robust PTAS for maximum weight independent sets in unit disk graphs

TL;DR: A polynomial-time approximation scheme for the maximum weight independent set problem in unit disk graphs is presented and is robust in the sense that it accepts any graph as input and either returns a (1+e)-approximate independent set or a certificate showing that the input graph is no unit disk graph.
Book ChapterDOI

Online Independent Set Beyond the Worst-Case: Secretaries, Prophets, and Periods

TL;DR: This work investigates online algorithms for maximum (weight) independent set on graph classes with bounded inductive independence number ρ like interval and disk graphs with applications to, e.g., task scheduling, spectrum allocation and admission control.
Journal ArticleDOI

Approximation Algorithms for Intersection Graphs

TL;DR: The similarity to chordal graphs is used to construct simple polynomial-time approximation algorithms with constant approximation ratio for many NP-hard problems, when restricted to graphs for which at least one of the three complexity parameters is bounded by a constant.
References
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Journal ArticleDOI

On maximal independent sets of vertices in claw-free graphs

TL;DR: Given a finite claw-free graph with real numbers assigned to the vertices, this work exhibits an algorithm for producing an independent set of vertices of maximum total weight, which is “efficient” in the sense of J. Edmonds.
Journal ArticleDOI

Simple heuristics for unit disk graphs

TL;DR: This work presents simple and provably good heuristics for a number of classical NP-hard optimization problems on unit disk graphs, including maximum independent set, minimum vertex cover, minimum coloring and minimum dominating set.
Journal ArticleDOI

A unified approach to approximating resource allocation and scheduling

TL;DR: A general framework for solving resource allocation and scheduling problems, given a resource of fixed size, and presents algorithms that approximate the maximum throughput or the minimum loss by a constant factor.
Book ChapterDOI

A Local-Ratio Theorem for Approximating the Weighted Vertex Cover Problem

TL;DR: In this paper, a local-ratio theorem for approximating the weighted vertex cover problem is presented, which consists of reducing the weights of vertices in certain subgraphs and has the effect of local-approximation.
Journal ArticleDOI

Zero Knowledge and the Chromatic Number

TL;DR: This work presents a new technique, inspired by zero-knowledge proof systems, for proving lower bounds on approximating the chromatic number of a graph, and matches (up to low order terms) the known gap for approximation the size of the largest independent set.