Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances.
Random constraint satisfaction problems (CSPs) form a class of models in which a collection of discrete variables is subject to a set of randomly generated constraints. Inspired by paradigms in ...
Offering clear explanations of the mathematics behind signal and linear system analysis, this book fully covers communications theory, and provides an introduction to information theory and coding.
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