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Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 11th International W Ashish Goel,Klaus Jansen,Ronit

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期刊全稱Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
期刊簡稱11th International W
影響因子2023Ashish Goel,Klaus Jansen,Ronitt Rubinfeld
視頻videohttp://file.papertrans.cn/161/160455/160455.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques; 11th International W Ashish Goel,Klaus Jansen,Ronit
影響因子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 s
Pindex Conference proceedings 2008
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Ordinal Embedding: Approximation Algorithms and Dimensionality Reductionst distances. More precisely, in an ordinal embedding, we must preserve the relative order between pairs of distances (which pairs are larger or smaller), and not necessarily the values of the distances themselves. The relaxation of an ordinal embedding is the maximum ratio between two distances who
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Connected Vertex Covers in Dense Graphs results for this problem in dense graphs, in which either the minimum or the average degree is linear. In particular, we prove tight parameterized upper bounds on the approximation returned by Savage’s algorithm, and extend a vertex cover algorithm from Karpinski and Zelikovsky to the connected cas
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Approximating Maximum Subgraphs without Short Cyclesraph. The instance for these problems is a graph .?=?(.,.) and an integer .. The .. problem is to find a minimum edge subset of . that intersects every .-cycle. The .. problem is to find a maximum edge subset of . without .-cycles..The 3. problem (covering all triangles) was studied by Krivelevich [
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