Applied mathematics

This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004.

Numerical analysis forms a cornerstone of numeric computing and optimization, in particular recently, interval numerical computations play an important role in these topics.

Basics of Ramsey Theory serves as a gentle introduction to Ramsey theory for students interested in becoming familiar with a dynamic segment of contemporary mathematics that combines ideas from number theory and combinatorics.

This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery.

Originally published in 1994, The Incommensurability Thesis is a critical study of the Incommensurability Thesis of Thomas Kuhn and Paul Feyerabend.

The book addresses the development of the basic knowledge of the subsurface solute transfer with a particular emphasis on field data collection and analysis coupled with modeling (analytical and numerical) tool application.

This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order partial differential equations (PDEs), and financial mathematics.

Learning and Generalization provides a formal mathematical theory addressing intuitive questions of the type: How does a machine learn a concept on the basis of examples?

An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes necessary in understanding and applying stochastic methods to biological problems in areas such as population growth and extinction, drug kinetics, two-species competition and predation, the spread of epidemics, and

Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods.

The definitive textbook on stochastic processes, written by one of the world''s leading information theorists, covering both theory and applications.

In recent years, as part of the increasing "e;informationization"e; of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector.

The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing.

This book is a compilation of selected papers from the 4th ENRI International Workshop on ATM/CNS (EIWAC2015).

This book is not a research monograph about Malliavin calculus with the latest results and the most sophisticated proofs.

The volume comprises the proceedings of the third International Conference on Dynamics in Logistics LDIC 2012.

This book presents essential tools for modelling non-linear time series.

The study of the ocean is almost as old as the history of mankind itself.

This book provides a comprehensive survey of analytic and approximate solutions of problems of applied mechanics, with particular emphasis on nonconservative phenomena.

Este libro describe las matemáticas necesarias para todo el conjunto de temas que conforman una carrera universitaria de ciencias aplicadas.

Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil, and commercial operations.

An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling.

This book presents the refereed proceedings of the Seventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, held in Ulm, Germany, in August 2006.

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science.

Models and simulations of all kinds are tools for dealing with reality.

Highlighting the new aspects of MATLAB 7.

This is a unique volume by a unique scientist, which combines conceptual, formal, and engineering approaches in a way that is rarely seen.

This series of lectures aims to address three main questions that anyone interested in the study of nonlinear dynamics should ask and ponder over.

This book provides readers with an introductory overview of art from the perspective of science, technology, engineering, and mathematics.

These proceedings focus on future prospects as well as on the present status in some important areas of applied probability and mathematical biology.

A concise, elementary introduction to measure and integration theory, requiring few prerequisites as theory is developed quickly and simply.

Die Zeitreihenanalyse hat in den letzten Jahrzehnten in den Wirtschaftswissenschaften, vor allem auf den Gebieten der Makro- und Finanzmarktökonomie, enorm an Bedeutung gewonnen.

This book provides a comprehensive and unified introduction to stochastic differential equations and related optimal control problems.

In March 1997, we launched the Japan Association for Evolutionary Economics {JAFEE) to gather the academic minds that, out of dissatisfaction with established dynamic approaches, were separately searching for new approaches to economics.

The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass.

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data.

With the increasing awareness of the heavy burden placed on environmental resources and the need for industry and public institutions to cope with more stringent regulations, this timely book focuses on some specific, but very important, environmental problems, namely, surface and subsurface hydrosystems.

A variety of modern research in analysis and discrete mathematics is provided in this book along with applications in cryptographic methods and information security, in order to explore new techniques, methods, and problems for further investigation.

Stochastic geometry deals with models for random geometric structures.

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Other volumes in the Wiley Series in Probability and MathematicalStatistics, Ralph A.

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering.

It is well-known that modern stochastic calculus has been exhaustively developed under usual conditions.

Homogenization is a fairly new, yet deep field of mathematics which is used as a powerful tool for analysis of applied problems which involve multiple scales.

Introduction to Thermal and Fluid Engineering combines coverage of basic thermodynamics, fluid mechanics, and heat transfer for a one- or two-term course for a variety of engineering majors.

Now in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners.