Mathematical modelling

This book explores a wide range of singular phenomena, providing mathematical tools for understanding them and highlighting their common features.

This book explores a wide range of singular phenomena, providing mathematical tools for understanding them and highlighting their common features.

A monograph containing significant new developments in the theory of reaction-diffusion systems, particularly those arising in chemistry and life sciences.

A monograph containing significant new developments in the theory of reaction-diffusion systems, particularly those arising in chemistry and life sciences.

Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.

Introduces graduate students to the state of the art in this fast-developing field of applied mathematics.

Introduces graduate students to the state of the art in this fast-developing field of applied mathematics.

For students and professionals, this covers theory and methods for stochastic modelling and analysis of marine structures under environmental loads.

For students and professionals, this covers theory and methods for stochastic modelling and analysis of marine structures under environmental loads.

A wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.

The first book devoted to ellipsoidal harmonics presents the state of the art in this fascinating subject.

Account of current research in model theory and its connections with algebra and analysis; contributions from leaders in the field.

Account of current research in model theory and its connections with algebra and analysis; contributions from leaders in the field.

A compact treatment that takes the reader from simple examples to current research involving ordinary differential equations.

An excellent basis for further study.

This classic book outlines the anatomy and physiology of the circulation and explains the mechanical principles that govern it.

A compact treatment that takes the reader from simple examples to current research involving ordinary differential equations.

Enables graduate students and researchers to understand and employ a wide variety of methods in applied mathematics.

Master the process of building MASS models with real examples and hands-on practice.

Introduces stochastic control and mathematical modelling to researchers and graduate students in applied mathematics, mathematical economics, and non-linear PDE theory.

Focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening experiments from a statistically sound basis.

Focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening experiments from a statistically sound basis.

An introduction to the FDTD method for students and engineers without prior modeling experience.

Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts.

A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves.

Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts.

Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations.

Numerical simulation is a technique of major importance in various technical and scientific fields.

Numerical simulation is a technique of major importance in various technical and scientific fields.

The modeling of cities and territories has progressed greatly in the last 20 years.

The modeling of cities and territories has progressed greatly in the last 20 years.

The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation.

The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation.

Discover new theoretical connections between stochastic phenomena and the structure of natural language with this powerful volume!

Discover new theoretical connections between stochastic phenomena and the structure of natural language with this powerful volume!

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex analysis, and introductory mathematical physics for students in engineering and physics research.

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex analysis, and introductory mathematical physics for students in engineering and physics research.

Earthquake occurrence modeling is a rapidly developing research area.

Earthquake occurrence modeling is a rapidly developing research area.

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool.

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool.

The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling.

The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling.

An important resource that provides an overview of mathematical modelling Mathematical Modelling offers a comprehensive guide to both analytical and computational aspects of mathematical modelling that encompasses a wide range of subjects.

An important resource that provides an overview of mathematical modelling Mathematical Modelling offers a comprehensive guide to both analytical and computational aspects of mathematical modelling that encompasses a wide range of subjects.

Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model demographic stochasticity.

Branching processes are stochastic processes which represent the reproduction of particles, such as individuals within a population, and thereby model demographic stochasticity.

This book is the first of a set dedicated to the mathematical tools used in partial differential equations derived from physics.

This book is the first of a set dedicated to the mathematical tools used in partial differential equations derived from physics.

Triangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena.