Efficient Approximation and Online Algorithms

This book PDF is perfect for those who love Computers genre, written by Evripidis Bampis and published by Springer Science & Business Media which was released on 06 February 2006 with total hardcover pages 355. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Efficient Approximation and Online Algorithms books below.

Efficient Approximation and Online Algorithms
Author : Evripidis Bampis
File Size : 41,6 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 06 February 2006
ISBN : 9783540322122
Pages : 355 pages
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Efficient Approximation and Online Algorithms by Evripidis Bampis Book PDF Summary

This book provides a good opportunity for computer science practitioners and researchers to get in sync with current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a linear program relaxation of the problem, randomization and rounding techniques.

Efficient Approximation and Online Algorithms

This book provides a good opportunity for computer science practitioners and researchers to get in sync with current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central

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Approximation and Online Algorithms

This book constitutes the thoroughly refereed workshop post-proceedings of the 17th International Workshop on Approximation and Online Algorithms, WAOA 2019, held in Munich, Germany, in September 2019 as part of ALGO 2019. The 16 revised full papers presented together with one invited paper in this book were carefully reviewed and selected from 38 submissions. Topics

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Approximation and Online Algorithms

This book constitutes the thoroughly refereed workshop post-proceedings of the 18th International Workshop on Approximation and Online Algorithms, WAOA 2019, held virtually in September 2020 as part of ALGO 2020. The 15 revised full papers presented this book were carefully reviewed and selected from 40 submissions. Topics of interest for WAOA 2018 were graph algorithms, inapproximability

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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

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Approximation and Online Algorithms

This book constitutes the thoroughly refereed workshop post-proceedings of the 19th International Workshop on Approximation and Online Algorithms, WAOA 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 revised full papers presented in this book were carefully reviewed and selected from 31 submissions. The papers focus on

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Contains theoretical foundations, applications, and examples of competitive analysis for online algorithms.

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Extends the primal-dual method to the setting of online algorithms, and shows its applicability to a wide variety of fundamental problems.

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This book constitutes the thoroughly refereed post-workshop proceedings of the 14th International Workshop on Approximation and Online Algorithms, WAOA 2016, held in Aarhus, Denmark, in August 2016 as part of ALGO 2016. The 16 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 33 submissions. Topics of interest for WAOA 2016

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