Mathematical modelling

This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics.

The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis.

Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem.

Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no one size fits all approach to growth measurement.

This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system.

This volume covers selected topics addressed and discussed during the workshop "e;PDE models for multi-agent phenomena,"e; which was held in Rome, Italy, from November 28th to December 2nd, 2016.

Process Modelling and Model Analysis describes the use of models in process engineering.

The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis.

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.

This book contains a selection of revised and extended research articles written by prominent researchers participating in the international conference on Advances in Engineering Technologies and Physical Science, held in Hong Kong, October 20-22, 2021.

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.

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

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

This book highlights the issues and challenges in personalised healthcare systems.

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 covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models.

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.

Replacement Models with Minimal Repair is a collection of works by several well-known specialists on the subject of minimal repair in replacement policies.

This book deals with network representation learning.

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 addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.

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.

This book presents the fundamental methods of modeling, analysis and synthesis of transport processes which allow:- to optimize the work of transport organizations according to different criteria of their functioning;- to evaluate the quality of decisions made in conditions of high entropy and uncertainty of technological processes when applying new technologies and systems;-to reduce the negative impact of the human factor on the safety of ongoing transport processes by increasing the motivational component of the training processes for the operator of active transport systems.

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