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Statistical and Computational Physics for Complex Systems
I am trying to clarify the problems in the so-called "complex systems" like ecological
systems,
proteins, neural networks and their learning processes, and combinatorial optimization
problems
in
terms of nonlinear mechanics, statistical physics and computational physics. Although the
subjects
are quite different each other at first glance, they share the key concepts: their complex
behaviors
are emerged by large number of relatively simple elements with complex interactions. Studying
them
in the uniform view point, we can make each particular case clear all the more.
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