Efficient Approximation and Online Algorithms - Info and Reading Options
Recent Progress on Classical Combinatorial Optimization Problems and New Applications
By Klaus Jansen and Claire Kenyon
"Efficient Approximation and Online Algorithms" was published by Springer in 2006 - New York, the book is classified in Computers genre, it has 347 pages and the language of the book is English.
“Efficient Approximation and Online Algorithms” Metadata:
- Title: ➤ Efficient Approximation and Online Algorithms
- Authors: Klaus JansenClaire Kenyon
- Language: English
- Number of Pages: 347
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: 2006
- Publish Location: New York
- Genres: Computers
“Efficient Approximation and Online Algorithms” Subjects and Themes:
- Subjects: ➤ Computer algorithms - Combinatorial optimization - Online algorithms - Data processing - Algorithms - Optimisation combinatoire - Algorithmes en ligne - Algorithmes - Informatique - COMPUTERS - Programming - Open Source - Software Development & Engineering - Tools - General - Approximationsalgorithmus - Kombinatorische Optimierung - Online-Algorithmus
Edition Specifications:
- Pagination: vi, 347 p. :
Edition Identifiers:
- Google Books ID: M571BwAAQBAJ
- The Open Library ID: OL24042656M - OL18600268W
- Online Computer Library Center (OCLC) ID: 262692244
- Library of Congress Control Number (LCCN): 2006920093
- ISBN-13: 9783540322139
- ISBN-10: 3540322132
- All ISBNs: 3540322132 - 9783540322139
AI-generated Review of “Efficient Approximation and Online Algorithms”:
Snippets and 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.
"Efficient Approximation and Online Algorithms" Description:
Google Books:
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.
Open Data:
Contributed Talks -- On Approximation Algorithms for Data Mining Applications -- A Survey of Approximation Results for Local Search Algorithms -- Approximation Algorithms for Path Coloring in Trees -- Approximation Algorithms for Edge-Disjoint Paths and Unsplittable Flow -- Independence and Coloring Problems on Intersection Graphs of Disks -- Approximation Algorithms for Min-Max and Max-Min Resource Sharing Problems, and Applications -- A Simpler Proof of Preemptive Total Flow Time Approximation on Parallel Machines -- Approximating a Class of Classification Problems -- List Scheduling in Order of ?-Points on a Single Machine -- Approximation Algorithms for the k-Median Problem -- The Lovász-Local-Lemma and Scheduling
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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- Is Online Borrowing Available: Yes
- Preview Status: restricted
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