Applied mathematics

This book discusses stochastic game theory and related concepts.

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics.

This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments.

This IMA Volume in Mathematics and its Applications STOCHASTIC DIFFERENTIAL SYSTEMS, STOCHASTIC CONTROL THEORY AND APPLICATIONS is the proceedings of a workshop which was an integral part of the 1986-87 IMA program on STOCHASTIC DIFFERENTIAL EQUATIONS AND THEIR APPLICATIONS.

This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years.

This textbook provides a no-nonsense introduction to the principles of theoretical and mathematical biology.

This book describes a program of research in computable structure theory.

Mathematical modelling has become in recent years an essential tool for the prediction of environmental change and for the development of sustainable policies.

Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance.

This work collects the contributions presented at the INdAM Workshop "e;Mathematical modeling and Analysis of degradation and restoration in Cultural Heritage - MACH2019"e; held in Rome in March 2019.

The authors examine topics in modern physics and offer a unitary and original treatment of the fundamental problems of the dynamics of physical systems, as well as a description of the nuclear matter within a framework of general relativity.

The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes.

This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models.

This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT).

Sound risk management often involves a combination of both mathematical and practical aspects.

This book consists of thirteen chapters covering many facts like psycho-social intervention on emotional disorders in individuals, impact of emotion and cognition on blended theory, theory and implication of information processing, effects of emotional self esteem in women, emotional dimension of women in workplace, effects of  mental thinking in different age groups irrespective of the gender, negative emotions and its effect on information processing, role of emotions in education and lastly emotional analysis in  multi perspective domain adopting machine learning approach.

This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface.

Nuclear Science and Technology, Volume 3: Numerical Methods of Reactor Analysis presents the numerical analysis frequently used in the nuclear reactor field.

This book is centered around higher algebraic structures stemming from the work of Murray Gerstenhaber and Jim Stasheff that are now ubiquitous in various areas of mathematics- such as algebra, algebraic topology, differential geometry, algebraic geometry, mathematical physics- and in theoretical physics such as quantum field theory and string theory.

Soil-crop-atmosphere interactions play a central role in well with the interest of agro-meteorologists, who the multiple functions of rural landscapes.

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field.

Robust design-that is, managing design uncertainties such as model uncertainty or parametric uncertainty-is the often unpleasant issue crucial in much multidisciplinary optimal design work.

Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography.

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it.

This book describes an effective method for modeling advanced materials like polymers, composite materials and biomaterials, which are, as a rule, inhomogeneous.

Over the last few decades, research in elastic-plastic torsion theory, electrostatic screening, and rubber-like nonlinear elastomers has pointed the way to some interesting new classes of minimum problems for energy functionals of the calculus of variations.

This monograph offers a novel structural perspective on the modelling of engineering problems, utilizing abstract mathematics in the form of category theory.

Pocket Book of Integrals and Mathematical Formulas, 5th Edition covers topics ranging from precalculus to vector analysis and from Fourier series to statistics, presenting numerous worked examples to demonstrate the application of the formulas and methods.

xiv aggregates: this touches on the very nature of things.

This book provides an authoritative introduction to the rapidly growing field of chemical reaction network theory.

A Mathematical Approach to Special Relativity introduces the mathematical formalisms of special and general relativity.

Guide to this Book My main objective is to teach programming in Pascal to people in the hard sciences and technology, who don't have much patience with the standard textbooks with their lengthy, pedantic approach, and their many examples of no interest to scientists and engineers.

This book covers Mathematica® for beginners.

This book explores EU-China security cooperation across a range of key issues.

This book contains three lectures each of 10 sessions; the first on Potential Theory on graphs and manifolds, the second on annealing and another algorithms for image reconstruction, the third on Malliavin Calculus.

This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks.

There is a long-lasting controversy concerning our mind and consciousness.

The Boolean functions may be iterated either asynchronously, when their coordinates are computed independently of each other, or synchronously, when their coordinates are computed at the same time.

This the second volume of five from the 28th IMAC on Structural Dynamics and Renewable Energy, 2010, bringing together 17 chapters on Applications of Non-Linear Dynamics.

Since modeling multiscale phenomena in systems biology and neuroscience is a highly interdisciplinarytask, the editor of the book invited experts in bio-engineering, chemistry, cardiology, neuroscience,computer science, and applied mathematics, to provide their perspectives.

In the view of many probabilists, author Anatolii Puhalskii's research results stand among the most significant achievements in the modern theory of large deviations.

This proceedings volume gathers selected, peer-reviewed papers presented at the Dynamical Systems Theory and Applications International Conference - DSTA 2021, held virtually on December 6-9, 2021, organized by the Department of Automation, Biomechanics, and Mechatronics at Lodz University of Technology, Poland.

How we can repair our democracy by rebuilding the mechanisms that power itWhat's the best way to determine what most voters want when multiple candidates are running?