Computational Many-Particle Physics [Paperback]

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. A broad range of techniques and algorithms are covered, and emphasis is placed on their implementation on modern high-performance computers. This excellent book comes complete with online files and updates allowing readers to stay right up to date.

Complicated many-particle problems abound in nature and in research alike. Plasma physics, for example, or statistical and condensed matter physics are all heavily dependent on efficient methods for solving such problems. Addressing graduate students and young researchers, this book presents an overview and introduction to state-of-the-art numerical methods for studying interacting classical and quantum many-particle systems. A broad range of techniques and algorithms are covered, and emphasis is placed on their implementation on modern high-performance computers.

Molecular Dynamics.- to Molecular Dynamics.- Wigner Function Quantum Molecular Dynamics.- Classical Monte Carlo.- The Monte Carlo Method, an Introduction.- Monte Carlo Methods in Classical Statistical Physics.- The Monte Carlo Method for Particle Transport Problems.- Kinetic Modelling.- The Particle-in-Cell Method.- Gyrokinetic and Gyrofluid Theory and Simulation of Magnetized Plasmas.- Semiclassical Approaches.- Boltzmann Transport in Condensed Matter.- Semiclassical Description of Quantum Many-Particle Dynamics in Strong Laser Fields.- Quantum Monte Carlo.- World-line and Determinantal Quantum Monte Carlo Methods for Spins, Phonons and Electrons.- Autocorrelations in Quantum Monte Carlo Simulations of Electron-Phonon Models.- Diagrammatic Monte Carlo and Stochastic Optimization Methods for Complex Composite Objects in Macroscopic Baths.- Path Integral Monte Carlo Simulation of Charged Particles in lS8