Computational Many-Particle Physics
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Beschreibung
Complicated many-particle problems abound in nature and in research alike. Plasma physics, statistical physics and condensed matter physics, as primary examples, 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.
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.
Covers the major developments in computational many-particle physics Integrates classical and quantum physics and computational methods Both a study text for students and a reference work for researchers Graduate students will benefit from the basic introductions and explanations of the application of the theories Includes supplementary material: sn.pub/extras
Autor*in
Holger Fehske
Themen in »Computational Many-Particle Physics«
Approximation Density matrix renormalization High-performance computing Many-particle problem Monte Carlo Monte Carlo method Numerical methods Particle Physics Particle-in-cell Renormalization group STATISTICA statistical physics