Mathematical modelling

A basic introduction to Mathematical Modelling, this book encourages the reader to participate in the investigation of a wide variety of modelling examples.

This book addresses the functioning of financial markets, in particular the financial market model, and modelling.

The chapters in this volume are based on talks given at the inaugural Technology, Engineering and Mathematics Conference (TEM18), held from March 26 to 27, 2018 in Kenitra, Morocco.

Mathematical Modeling using Fuzzy Logic has been a dream project for the author.

A unique textbook for an undergraduate course on mathematical modeling, Differential Equations with MATLAB: Exploration, Applications, and Theory provides students with an understanding of the practical and theoretical aspects of mathematical models involving ordinary and partial differential equations (ODEs and PDEs).

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

Reflecting the author's years of industry and teaching experience, Fluid Mechanics and Turbomachinery features many innovative problems and their systematically worked solutions.

This unique book is equally useful to both engineering-degree students and production engineers practicing in industry.

Analogical thinking lies at the core of human cognition, pervading from the most mundane to the most extraordinary forms of creativity.

This book presents cutting-edge approaches to solving practical problems faced by professionals in the petroleum industry and geosciences.

With examples drawn from contemporary physics this book clearly explains the mathematics graduate students need to succeed in their courses.

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research - this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately.

Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field.

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques.

Industrial Mathematics is a relatively recent discipline.

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

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.

The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint.

The general theory of stochastic processes and the more specialized theory of Markov processes evolved enormously in the second half of the last century.

Since its inception in 2013, Mathematics of Planet Earth (MPE) focuses on mathematical issues arising in the study of our planet.

This book provides a detailed description of how Python can be used to give insight into the flow of groundwater based on analytic solutions.

Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study.

Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes.

This book covers research methods such as Systematic Literature Review (SLR) or Multifocal Literature Review (MLR), case studies, experiments, surveys, and Design Science Research using quantitative and qualitative approaches.

These days, computer-based simulation is considered the quintessential approach to exploring new ideas in the different disciplines of science, engineering and technology (SET).

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

Employs basic mathematical skills to teach students how to address topical, real-world problems using quantitative reasoning.

Advanced Applications in Heat Exchanger Technologies presents the most recent developments in enhancing heat exchanger performance, reliability, and resilience, including the implementation of Artificial Intelligence, Machine Learning, and Additive Manufacturing.

A fundamental reference for graduate students and researchers in fluid mechanics.

This textbook's methodological approach familiarizes readers with the mathematical tools required to correctly define and solve problems in continuum mechanics.

An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.

Telecommunications has had a major impact in all aspects of life in the last century.

A complete introduction to the modelling and mathematical analysis of contact processes with deformable solids.

Businesses today are faced with a highly competitive market and fast-changing technologies.

Topics in Contemporary Mathematical Analysis and Applications encompasses several contemporary topics in the field of mathematical analysis, their applications, and relevancies in other areas of research and study.

Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications.

New advanced modeling methods for simulating the electromagnetic properties of complex three-dimensional electronic systems Based on the author's extensive research, this book sets forth tested and proven electromagnetic modeling and simulation methods for analyzing signal and power integrity as well as electromagnetic interference in large complex electronic interconnects, multilayered package structures, integrated circuits, and printed circuit boards.

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 volume contains the proceedings of the U.

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including mathematical foundations and key decision-theoretic principles.

In February 2002, the Industrial and Systems Engineering (ISE) De partment at the University of Florida hosted a National Science Founda tion Workshop on Collaboration and Negotiation in Supply Chain Man agement and E Commerce.

A comprehensive, step-by-step introduction to wavelets in statistics.

The first book to introduce the rapidly developing subject of NIP theories, for students and researchers in model theory.

This user-friendly reference for students and researchers presents the basic mathematical theory, before introducing modelling of key geodynamic processes.

Nonlinear Optimization is an intriguing area of study where mathematical theory, algorithms and applications converge to calculate the optimal values of continuous functions.

Noted coastal geologist Orrin Pilkey and environmental scientist Linda Pilkey-Jarvis show that the quantitative mathematical models policy makers and government administrators use to form environmental policies are seriously flawed.