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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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Proceedings ArticleDOI

Approximation algorithms for the job interval selection problem and related scheduling problems

TL;DR: The authors consider the job interval selection problem (JISP), a simple scheduling model with a rich history and numerous applications, and shows an approximation guarantee of less than 1.582 for arbitrary instances of JISP.
Proceedings ArticleDOI

Incremental) priority algorithms

TL;DR: A precise definition of what the authors mean by greedy and greedy-like is provided and it seems plausible that they should be able to derive approximation bounds for “greedy-like” algorithms exploiting only the conceptual simplicity of these algorithms.
Journal ArticleDOI

Approximation Algorithms for the Job Interval Selection Problem and Related Scheduling Problems

TL;DR: This paper shows an approximation guarantee of less than 1.582 for arbitrary instances of JISP, a best approximation guarantee known, even for throughput maximization on a single machine.
Book ChapterDOI

Opportunity Cost Algorithms for Combinatorial Auctions

TL;DR: Two general algorithms based on opportunity costs are given for approximating a revenue-maximizing set of bids an auctioneer should accept, in a combinatorial auction in which each bidder offers a price for some subset of the available goods and the auctioneer can only accept non-intersecting bids.