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.
The book is well-suited for undergraduate courses in advanced thermodynamics, statistical mechanic and transport theory, and graduate courses in physics and chemistry.
This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them.
An accompanying CD allows incorporation of the book's content (illustrations, tables, schematic programs) into the reader's own presentations. - ;'This book is the best one I have reviewed all year.
In this book 16 experts describe the application of methods of statistical physics to various areas in physics such as disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, ...
Kschischang, F. R., Frey, B. J., and Loeliger, H.-A. (2001). Factor graphs and the sum–product algorithm. IEEE Trans. Inf. Theory, 47, 498–519. Lauritzen, S. L. (1996). Graphical Models. Oxford University Press, Oxford.
Breaking New Ground Computational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and bioinformatics.
This book presents computer simulations using molecular dynamics techniques in statistical physics, with a focus on macromolecular systems.
They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done?
SCHNEIDER et al (1998) confirmed this prediction by computer simulations giving a male mortality roughly twice the female mortality except at old age. Finally, we want to say that we are very happy with the fact that other researchers ...
Looking for the real state of play in computational many-particle physics? Look no further. This book presents an overview of state-of-the-art numerical methods for studying interacting classical and quantum many-particle systems.