Statistical physics

A modern introduction to ultracold atomic physics combining fundamental theory with discussion of cold atom phenomena and applications.

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

A modern introduction to ultracold atomic physics combining fundamental theory with discussion of cold atom phenomena and applications.

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

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

Exploring a novel breakthrough in the identification and investigation of solvable and integrable nonlinearly coupled evolution ordinary differential equations (ODEs) or partial differential equations (PDEs).

Delivers a clear and concise exposition of key topics in statistical physics, accompanied by detailed derivations and practice problems.

This book explains in detail the key concepts, calculations and applications elucidating quantum tunnelling mediated by instantons, using the Feynman path integral.

A user-friendly introduction for mathematicians to some of the principal stochastic models near the interface of probability and physics.

A user-friendly introduction for mathematicians to some of the principal stochastic models near the interface of probability and physics.

An introduction to how the mathematical tools from quantum field theory can be applied to economics and finance.

This original text develops a deep understanding of thermal physics and highlights the important links between statistical physics and thermodynamics.

A comprehensive and pedagogical text on nonequilibrium statistical physics, covering topics from random walks to pattern formation.

This book provides a review of the application of quantum field theory to condensed matter systems, introducing important techniques in condensed matter theory.

This original text develops a deep understanding of thermal physics and highlights the important links between statistical physics and thermodynamics.

A comprehensive and pedagogical text on nonequilibrium statistical physics, covering topics from random walks to pattern formation.

This book provides a review of the application of quantum field theory to condensed matter systems, introducing important techniques in condensed matter theory.

This book includes nine articles representing a timely snapshot of the state of the art in the different areas of combinatorics.

This book includes nine articles representing a timely snapshot of the state of the art in the different areas of combinatorics.

This new edition describes the space of quantum states and the theory of quantum entanglement from a geometric perspective.

This new edition describes the space of quantum states and the theory of quantum entanglement from a geometric perspective.

A comprehensive introduction to the methods of, and physics describable by, classical field theory.

A comprehensive introduction to the methods of, and physics describable by, classical field theory.

Translation of an influential book on exactly solvable models of many-body physics for graduate students and researchers in physics.

Introduction to gauge/string duality and its applications to quark-gluon plasma for researchers in string theory and quantum field theory.

Translation of an influential book on exactly solvable models of many-body physics for graduate students and researchers in physics.

Introduction to gauge/string duality and its applications to quark-gluon plasma for researchers in string theory and quantum field theory.

A demonstration of how time series econometrics can be used in economics and finance.

Introduction to stochastic processes and their applications, and methods for numerical simulation, for graduate students and researchers in physics.

This book expands the explanatory scope of econophysics to the real economy.

This book helps readers understand the elusive concept of entropy to supplement undergraduate courses in physics, engineering, chemistry and mathematics.

This book helps readers understand the elusive concept of entropy to supplement undergraduate courses in physics, engineering, chemistry and mathematics.

Graduate-level textbook examining important results and analytical techniques through a step-by-step presentation of the structure and function of complex networks.

This self-contained volume introduces modern methods of statistical mechanics in turbulence, with three harmonised lecture courses by world class experts.

These notes are based on a series of lectures given at the Advanced Research Institute of Discrete Applied Mathematics, Rutgers University.

Including topics not traditionally covered, such as (1+1)-dimensional QFT, this book considers a wide range of models and their applications.

A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.

Including topics not traditionally covered, such as (1+1)-dimensional QFT, this book considers a wide range of models and their applications.

A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.

Real systems'' units interdepend across multiple layers or contexts: this complexity leads to non-trivial organization and novel emergent phenomena.

A thorough examination of kinetic theory and its successes in understanding and describing irreversible phenomena in physical systems.

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

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

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

This book highlights cutting-edge topics in contemporary physics, discussing exciting advances and new forms of thinking in evolving fields with emphases both on natural phenomena and applications to modern engineering.

This book highlights cutting-edge topics in contemporary physics, discussing exciting advances and new forms of thinking in evolving fields with emphases both on natural phenomena and applications to modern engineering.

This book deals with certain important problems in Classical and Quantum Information Theory Quantum Information Theory, A Selection of Matrix Inequalities Stochastic Filtering Theory Applied to Electromagnetic Fields and Strings Wigner-distributions in Quantum Mechanics Quantization of Classical Field Theories Statistical Signal Processing Quantum Field Theory, Quantum Statistics, Gravity, Stochastic Fields and Information Problems in Information Theory It will be very helpful for students of Undergraduate and Postgraduate Courses in Electronics, Communication and Signal Processing.

This book deals with certain important problems in Classical and Quantum Information Theory Quantum Information Theory, A Selection of Matrix Inequalities Stochastic Filtering Theory Applied to Electromagnetic Fields and Strings Wigner-distributions in Quantum Mechanics Quantization of Classical Field Theories Statistical Signal Processing Quantum Field Theory, Quantum Statistics, Gravity, Stochastic Fields and Information Problems in Information Theory It will be very helpful for students of Undergraduate and Postgraduate Courses in Electronics, Communication and Signal Processing.

This book reviews and contrasts contemporary and historical perceptions of time from scientific and intuitive human points of view.