Applied mathematics

This new book addresses the status of the field of System Dynamics 60+ years after its inception.

This volume presents some of the research topics discussed at the 2014-2015 Annual Thematic Program Discrete Structures: Analysis and Applications at the Institute of Mathematics and its Applications during the Spring 2015 where geometric analysis, convex geometry and concentration phenomena were the focus.

This volume opens the world of free probability to a wide variety of readers.

This monograph aims to provide a rigorous yet accessible presentation of some fundamental concepts used in modeling brain mechanics and give a glimpse of the insights and advances that have arisen as a result of the nascent interaction of the mathematical and neurosurgical sciences.

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second order backward stochastic differential equations, and path dependent partial differential equations.

This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis.

This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science.

This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics.

Absolute Essentials of Ethereum is a concise textbook which guides the reader through the fascinating world of the emerging Ethereum ecosystem, from the basics of how its blockchain works to cutting-edge applications.

This book  keeps an eye in the direction of applications of advanced and high performance scientific computing in  describing the behavior of natural and constructed systems, e.

The modern world is complex beyond human understanding and control.

This volume deals with the classical Navier-Stokes system of equations governing the planar flow of incompressible, viscid fluid.

This book is an introduction to the perturbation theory for linear and nonlinear waves in dispersive and dissipative media.

This book is aimed at the approximation of set-valued functions with compact sets in an Euclidean space as values.

This book offers a comprehensive overview of the models and methods employed in the rapidly advancing field of numerical ocean circulation modeling.

Network science offers a powerful language to represent and study complex systems composed of interacting elements - from the Internet to social and biological systems.

The book aims to provide the reader with an updated general presentation of multiscale/multiresolution approaches in turbulent flow simulations.

Numerical Methods for Scientists and Engineers: With Pseudocodes is designed as a primary textbook for a one-semester course on Numerical Methods for sophomore or junior-level students.

This book is a guide to advanced techniques used widely in applied mathematical sciences research.

This is a concise reference book on analysis and mathematical physics, leading readers from a foundation to advanced level understanding of the topic.

This book leads readers from a basic foundation to an advanced level understanding of dynamical and complex systems.

This book, based on published studies, takes a unique perspective on the 30-year collapse of pharmaceutical industry productivity in the search for small molecule "e;magic bullet"e; interventions.

This book leads readers from a basic foundation to an advanced-level understanding of fluid and solid mechanics.

This book helps develop a better understanding of how researchers from different scientific backgrounds view models and uncertainty.

Transmutations, Singular and Fractional Differential Equations with Applications to Mathematical Physics connects difficult problems with similar more simple ones.

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks.

This book offers organizations the catalyst for swift change to take strategic advantage of what AI has to offer.

This book offers an essential review of central theories, current research and applications in the field of numerical representations of ordered structures.

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.

This book addresses the mathematical aspects of modern image processing methods, with a special emphasis on the underlying ideas and concepts.

This thesis develops a pioneering methodology and a concept for identifying critical loads and load model parameters in large power networks based on their influence on power system stability.

The chapters in this contributed volume showcase current theoretical approaches in the modeling of ocular fluid dynamics in health and disease.

This book sets out an account of the tools which Frobenius used to discover representation theory for nonabelian groups and describes its modern applications.

In the era of big data and real-time monitoring, vast amounts of information are generated every second through sensors and advanced tracking systems.

This book gathers a selection of papers presented at ROBOT 2019 - the Fourth Iberian Robotics Conference, held in Porto, Portugal, on November 20th-22nd, 2019.

This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions.

This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus.

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matematica Oaxaca (CMO), Mexico.

This book offers a comprehensive and readable introduction to modern business and data analytics.

The idea of this monograph is to present an overview of decisive theoretical, computational, technological, aesthetical, artistic, economical, and sociological directions to create future music.

This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research.

This book presents the latest perspectives and challenges within the interrelated fields of econophysics and sociophysics, which have emerged from the application of statistical physics to economics and sociology.

This book analyzes how transport influences the ecology of various regions.

This book provides readers with essential concepts from financial economics for an integrated study of the financial system and the real economy.

This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change.

This book presents a systematic approach to analyze nature-inspired algorithms.

This book explores the emerging field of risk management and risk analysis of cryptocurrencies, an area that has been generating considerable research.

This book presents innovative ideas and technical contributions in the area of metasurfaces and antenna technologies.

This volume encompasses prototypical, innovative and emerging examples and benchmarks of Differential-Algebraic Equations (DAEs) and their applications, such as electrical networks, chemical reactors, multibody systems, and multiphysics models, to name but a few.

This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.