This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning.
This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning.
This book delves into the intricate world of soft matter physics, specifically focusing on two contemporary complex systems: ferronematics and living liquid crystals.
This book delves into the intricate world of soft matter physics, specifically focusing on two contemporary complex systems: ferronematics and living liquid crystals.
This book offers a fundamental description of physics using classical probabilities for events occurring at all times and locations throughout the Universe.
This book delves into the foundational principles governing the treatment of molecular networks and "e;chemical space"e;-the comprehensive domain encompassing all physically achievable molecules-from the perspectives of vector space, graph theory, and data science.
This book delves into the foundational principles governing the treatment of molecular networks and "e;chemical space"e;-the comprehensive domain encompassing all physically achievable molecules-from the perspectives of vector space, graph theory, and data science.
This book presents cutting-edge research addressing the mathematical models used to tackle the "e;Target problem"e; as it manifests itself in a wide range of disciplines.
This book presents cutting-edge research addressing the mathematical models used to tackle the "e;Target problem"e; as it manifests itself in a wide range of disciplines.
This thesis combines methods from statistical physics and nonlinear dynamics to advance research on the pattern formation in active fluids in several directions.
This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.
This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.
This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles.
This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles.
This book presents the experimental development of an information-powered engine inspired by the famous thought experiment, Maxwell's demon, to understand its potential to produce energy for practical purposes.
This book presents the experimental development of an information-powered engine inspired by the famous thought experiment, Maxwell's demon, to understand its potential to produce energy for practical purposes.
This book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists.
This book is a brief and accessible popular science text intended for a broad audience and of particular interest also to science students and specialists.
This book presents experimental studies of nonequilibrium phase transitions induced by ac and dc forces in collectively interacting systems-a superconducting vortex system with random pinning.
This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field.
Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and path integral formulations of quantum theories.
Stochastic mechanics is a theory that holds great promise in resolving the mathematical and interpretational issues encountered in the canonical and path integral formulations of quantum theories.
To understand phenomena in nature, it is important to focus not only on properties of stationary states, but also their changes in time, that is, the dynamics between bistable states.
This book offers an interdisciplinary theoretical approach based on non-equilibrium statistical thermodynamics and control theory for mathematically modeling shock-induced out-of-equilibrium processes in condensed matter.
This textbook serves to teach readers about the origins of life, the probabilistic process of self-assembly underpinning all living systems, from a biophysics perspective.
This textbook serves to teach readers about the origins of life, the probabilistic process of self-assembly underpinning all living systems, from a biophysics perspective.
To understand phenomena in nature, it is important to focus not only on properties of stationary states, but also their changes in time, that is, the dynamics between bistable states.
This book offers an interdisciplinary theoretical approach based on non-equilibrium statistical thermodynamics and control theory for mathematically modeling shock-induced out-of-equilibrium processes in condensed matter.
This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field.
This thesis combines methods from statistical physics and nonlinear dynamics to advance research on the pattern formation in active fluids in several directions.
This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "e;black swans,"e; with a particular focus on (multi-)fractal approaches and continuous-time random walks.
