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Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques - 11th International Workshop, APPROX 2008 and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008 (Paperback, 2008 ed.)
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Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques - 11th International Workshop, APPROX 2008 and 12th International Workshop, RANDOM 2008, Boston, MA, USA, August 25-27, 2008 (Paperback, 2008 ed.)
Series: Lecture Notes in Computer Science, 5171
Expected to ship within 10 - 15 working days
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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."
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