Approximating the Minimum Degree Spanning and Steiner Trees to Within One from the Optimal Degree

Approximating the Minimum Degree Spanning and Steiner Trees to Within One from the Optimal Degree
Author: Martin Fürer
Publisher:
Total Pages: 14
Release: 1992
Genre: Graph theory
ISBN:

Abstract: "We consider the problem of constructing a spanning tree for a graph G = (V, E) with n vertices whose maximal degree is the smallest among all spanning trees of G. This problem is easily shown to be NP-hard. We describe an iterative polynomial time approximation algorithm for this problem. This algorithm computes a spanning tree whose maximal degree is at most [delta]* + 1, where [delta]* is the degree of some optimal tree. The result is generalized to the case where only some vertices need to be connected (Steiner case). Unless P = NP, this is the best bound achievable in polynomial time."

How Tough is the Minimum-degree Steiner Tree?

How Tough is the Minimum-degree Steiner Tree?
Author: Ajit Agrawal
Publisher:
Total Pages: 12
Release: 1991
Genre: Steiner systems
ISBN:

Abstract: "We give the first approximation algorithm for the minimum-degree Steiner tree. The problem is to find a network of minimum degree spanning a given subset of the vertices of a graph. In the course of obtaining the approximation, we prove a new approximate min-max equality relating the minimum degree to the reciprocal of the node-toughness of the graph. Toughness was first defined by Chvatal, and it measures how tough it is to disconnect the graph into many components by removing nodes. We also obtain an algorithm for approximating node-toughness. We discuss applications of these approximation algorithms."

Steiner Tree Problems in Computer Communication Networks

Steiner Tree Problems in Computer Communication Networks
Author: Dingzhu Du
Publisher: World Scientific
Total Pages: 373
Release: 2008
Genre: Computers
ISBN: 9812791442

The Steiner tree problem is one of the most important combinatorial optimization problems. It has a long history that can be traced back to the famous mathematician Fermat (1601-1665). This book studies three significant breakthroughs on the Steiner tree problem that were achieved in the 1990s, and some important applications of Steiner tree problems in computer communication networks researched in the past fifteen years. It not only covers some of the most recent developments in Steiner tree problems, but also discusses various combinatorial optimization methods, thus providing a balance between theory and practice.

Approximation Algorithms for Combinatorial Optimization

Approximation Algorithms for Combinatorial Optimization
Author: Klaus Jansen
Publisher: Springer
Total Pages: 280
Release: 2003-06-30
Genre: Computers
ISBN: 3540457534

This book constitutes the refereed proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2002, held in Rome, Italy in September 2002. The 20 revised full papers presented were carefully reviewed and selected from 54 submissions. Among the topics addressed are design and analysis of approximation algorithms, inapproximability results, online problems, randomization techniques, average-case analysis, approximation classes, scheduling problems, routing and flow problems, coloring and partitioning, cuts and connectivity, packing and covering, geometric problems, network design, and applications to game theory and other fields.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
Author: Klaus Jansen
Publisher: Springer Science & Business Media
Total Pages: 436
Release: 2004-08-11
Genre: Computers
ISBN: 3540228942

This book constitutes the joint refereed proceedings of the 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2004 and the 8th International Workshop on Randomization and Computation, RANDOM 2004, held in Cambridge, MA, USA in August 2004. The 37 revised full papers presented were carefully reviewed and selected from 87 submissions. Among the issues addressed are design and analysis of approximation algorithms, inapproximability results, approximation classes, online problems, graph algorithms, cuts, geometric computations, network design and routing, packing and covering, scheduling, game theory, design and analysis of randomised algorithms, randomized complexity theory, pseudorandomness, derandomization, probabilistic proof systems, error-correcting codes, and other applications of approximation and randomness.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
Author: Ashish Goel
Publisher: Springer
Total Pages: 614
Release: 2008-08-28
Genre: Computers
ISBN: 3540853634

This volume contains the papers presented at the 11th International Wo- shop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2008) and the 12th International Workshop on Randomization and Computation (RANDOM 2008), which took place concurrently at the MIT (M- sachusetts Institute of Technology) in Boston, USA, during August 25–27, 2008. APPROX focuses on algorithmic and complexity issues surrounding the development of e?cient approximate solutions to computationally di?cult problems, and was the 11th in the series after Aalborg (1998), Berkeley (1999), Saarbru ̈cken (2000), Berkeley (2001), Rome (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), and Princeton (2007). RANDOM is concerned with applications of randomness to computational and combinatorial problems, and was the 12th workshop in the series following Bologna (1997), Barcelona (1998), Berkeley (1999), Geneva (2000), Berkeley (2001), Harvard (2002), Princeton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), and Princeton (2007). Topics of interest for APPROX and RANDOM are: design and analysis of - proximation algorithms, hardness of approximation, small space, sub-linear time, streaming, algorithms, embeddings and metric space methods, mathematical programming methods, combinatorial problems in graphs and networks, game t- ory, markets, economic applications, geometric problems, packing, covering, scheduling, approximate learning, design and analysis of randomized algorithms, randomized complexity theory, pseudorandomness and derandomization, random combinatorial structures, random walks/Markov chains, expander graphs and randomness extractors, probabilistic proof systems, random projections and - beddings, error-correcting codes, average-case analysis, property testing, com- tational learning theory, and other applications of approximation and randomness.

Approximation and Online Algorithms

Approximation and Online Algorithms
Author: Evripidis Bampis
Publisher: Springer Science & Business Media
Total Pages: 302
Release: 2009-02-02
Genre: Computers
ISBN: 3540939792

The 6th Workshop on Approximation and Online Algorithms (WAOA 2008) focused on the design and analysis of algorithms for online and computati- ally hard problems. Both kinds of problems have a large number of appli- tions from a variety of ?elds. WAOA 2008 took place in Karlsruhe, Germany, during September 18–19, 2008. The workshop was part of the ALGO 2008 event that also hosted ESA 2008, WABI 2008, and ATMOS 2008. The pre- ous WAOA workshops were held in Budapest (2003), Rome (2004), Palma de Mallorca (2005), Zurich (2006), and Eilat (2007). The proceedings of these p- viousWAOA workshopsappearedasLNCS volumes2909,3351,3879,4368,and 4927, respectively. Topics of interest for WAOA 2008 were: algorithmic game theory, appro- mation classes, coloring and partitioning, competitive analysis, computational ?nance, cuts and connectivity, geometric problems, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approximationand online algorithms, randomizationtechniques, real-world applications, and scheduling problems. In response to the call for - pers,wereceived56submissions.Eachsubmissionwasreviewedbyatleastthree referees, and the vast majority by at least four referees. The submissions were mainly judged on originality, technical quality, and relevance to the topics of the conference. Based on the reviews, the Program Committee selected 22 papers. We are grateful to Andrei Voronkov for providing the EasyChair conference system,whichwasusedtomanagetheelectronicsubmissions,thereviewprocess, and the electronic PC meeting. It made our task much easier. We would also like to thank all the authors who submitted papers to WAOA 2008 as well as the local organizers of ALGO 2008.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
Author: Chandra Chekuri
Publisher: Springer
Total Pages: 504
Release: 2005-08-25
Genre: Computers
ISBN: 3540318747

This volume contains the papers presented at the 8th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2005) and the 9th International Workshop on Randomization and Computation (RANDOM 2005), which took place concurrently at the University of California in Berkeley, on August 22 –24, 2005.

The Design of Approximation Algorithms

The Design of Approximation Algorithms
Author: David P. Williamson
Publisher: Cambridge University Press
Total Pages: 517
Release: 2011-04-26
Genre: Computers
ISBN: 1139498177

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems.

Integer Programming and Combinatorial Optimization

Integer Programming and Combinatorial Optimization
Author: Quentin Louveaux
Publisher: Springer
Total Pages: 423
Release: 2016-05-25
Genre: Computers
ISBN: 3319334611

This book constitutes the refereed proceedings of the 18th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2016, held in Liège, Belgium, in June 2016. The 33 full papers presented were carefully reviewed and selected from 125 submissions. The conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization. The aim is to present recent developments in theory, computation, and applications in these areas. The scope of IPCO is viewed in a broad sense, to include algorithmic and structural results in integer programming and combinatorial optimization as well as revealing computational studies and novel applications of discrete optimization to practical problems.