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Computational Statistical Physics (Hardcover)
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Computational Statistical Physics (Hardcover)
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Providing a detailed and pedagogical account of the rapidly-growing
field of computational statistical physics, this book covers both
the theoretical foundations of equilibrium and non-equilibrium
statistical physics, and also modern, computational applications
such as percolation, random walks, magnetic systems, machine
learning dynamics, and spreading processes on complex networks. A
detailed discussion of molecular dynamics simulations is also
included, a topic of great importance in biophysics and physical
chemistry. The accessible and self-contained approach adopted by
the authors makes this book suitable for teaching courses at
graduate level, and numerous worked examples and end of chapter
problems allow students to test their progress and understanding.
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