Statistical physics

This book expands the topic of Monte Carlo simulation for graduate students and researchers in physics.

Updated second edition with several new chapters, for graduates and researchers in condensed matter physics and particle and string theory.

A systematic introduction to string phenomenology, outlining how string theory is connected to the real world of particle physics.

A philosophical perspective to statistical mechanics for graduate students and researchers in the foundations and philosophy of physics.

An overview of classical solutions and their consequences in quantum field theory, high energy physics and cosmology for graduates and researchers.

An overview of classical solutions and their consequences in quantum field theory, high energy physics and cosmology for graduates and researchers.

A philosophical perspective to statistical mechanics for graduate students and researchers in the foundations and philosophy of physics.

Applies network science to contemporary social policy problems for researchers and policy makers in social network analysis and economic policy.

Applies network science to contemporary social policy problems for researchers and policy makers in social network analysis and economic policy.

An overview of results and methods, written for graduates and researchers in physics, mathematics, biology, sociology, finance, medicine and engineering.

Textbook on statistical field theories for advanced graduate courses in statistical physics.

An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science.

A systematic introduction to string phenomenology, outlining how string theory is connected to the real world of particle physics.

An exploration of important theories for understanding freezing and the liquid-glass transition for graduate students and researchers.

Links thermal physics and quantum mechanics to give advanced undergraduate and graduate students a modern appreciation for this remarkable subject.

Introducing random searches and foraging for physicists and ecologists.

Updated second edition with several new chapters, for graduates and researchers in condensed matter physics and particle and string theory.

This monograph examines the domain of classical political economy using the methodologies developed in recent years both by the new discipline of econo-physics and by computing science.

This monograph examines the domain of classical political economy using the methodologies developed in recent years both by the new discipline of econo-physics and by computing science.

This is the first scientic book devoted to the Pauli exclusion principle, which is a fundamental principle of quantum mechanics and is permanently applied in chemistry, physics, and molecular biology.

This is the first scientic book devoted to the Pauli exclusion principle, which is a fundamental principle of quantum mechanics and is permanently applied in chemistry, physics, and molecular biology.

A modern introduction to quantum field theory for graduates, providing intuitive, physical explanations supported by real-world applications and homework problems.

A modern introduction to quantum field theory for graduates, providing intuitive, physical explanations supported by real-world applications and homework problems.

Provides a detailed introduction to classical and quantum statistical physics, including modern applications within current research.

Powerful analytical tools from statistical physics, guided by field observations are applied to spread of epidemics and movement ecology.

Detailed account of computational statistical physics, including theoretical foundations and modern, computational applications.

Powerful analytical tools from statistical physics, guided by field observations are applied to spread of epidemics and movement ecology.

This introductory textbook provides detailed coverage of the rapidly growing field of complexity science, for a broad audience of readers.

Demonstrates how complexity theory and statistical mechanics help define the language groups and model the language dynamics.

An overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering.

This Element reviews fundamental models and methods for the geometric description of real networks.

This Element describes a generalisation of percolation to multilayer networks: weak multiplex percolation.

An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint.

An overview of the distributive dynamics of economic systems in a broad theoretical and empirical sense from the econophysical viewpoint.

Modern introduction to machine learning with neural networks.

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.

This Element provides an overview of the ideas, methods and techniques to deal with complex networks datasets.

This Element explores the relations between dynamics and modularity on networks, emphasising the importance of time scale separation and network symmetry.

This Element presents one of the most recent developments in network science in a highly accessible style.

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.

Focuses on practical application of spectral analysis of time series, with examples from environmental, engineering and physical sciences.

Presents a unified treatment of anomalous diffusion problems using fractional calculus in a wide range of applications across scientific and technological disciplines.

What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

A comprehensive overview of recent progress in nonequilibrium statistical mechanics, including applications across a range of disciplines.

Presents a unified treatment of anomalous diffusion problems using fractional calculus in a wide range of applications across scientific and technological disciplines.

Algebraic structures including vector space, groups, topological spaces and more, all covered in one volume, showing the mutual connections.

A practical guide to understanding, using and producing downscaled climate data, for researchers, graduate students, policy makers and practitioners.

Provides a foundation for understanding complex fluids by integrating fluid dynamics, statistical physics, and polymer and colloid science.

A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.