This book provides a good opportunity for computer science
practitioners and researchers to get in sync with the 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.
This state-of-the-art survey contains 11 carefully selected
papers that cover some classical problems of scheduling, of
packing, and of graph theory, but also new optimization problems
arising in various applications like networks, data mining or
classification.
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