Mathematical modelling

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular.

Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks.

Mathematics for Physical Chemistry is the ideal supplementary text for practicing chemists and students who want to sharpen their mathematics skills while enrolled in general through physical chemistry courses.

This monograph aims to lay the groundwork for the design of a unified mathematical approach to the modeling and analysis of large, complex systems composed of interacting living things.

Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society.

Mathematical Modeling: Models, Analysis and Applications, Second Edition introduces models of both discrete and continuous systems.

This book introduces the method of lower and upper solutions for ordinary differential equations.

Discovering Dynamical Systems Through Experiment and Inquiry differs from most texts on dynamical systems by blending the use of computer simulations with inquiry-based learning (IBL).

Predictive theories of phenomena involving phase change with applications in engineering are investigated in this volume, e.

Business Process Modeling, Simulation and Design, Third Edition provides students with a comprehensive coverage of a range of analytical tools used to model, analyze, understand, and ultimately design business processes.

Many nonlinear systems around us can generate a very complex and counter-intuitive dynamics that contrasts with their simplicity, but their understanding requires concepts that are outside the basic training of most science students.

Written by an experienced operations research practitioner with a strong applied mathematics background, this book offers practical insights into how to approach optimization problems, how to develop intelligent and efficient mathematical models and algorithms, and how to implement and deliver software products to customers.

This volume compiles eight recent surveys that present state-of-the-art results in the field of active matter at different scales, modeled by agent-based, kinetic, and hydrodynamic descriptions.

Mixing scientific, historic and socio-economic vision, this unique book complements two previously published volumes on the history of continuum mechanics from this distinguished author.

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

The recent COVID-19 pandemic threw the world into complete chaos with its rapid and devastating spread.

This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels.

This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019.

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs).

The book originates from the mini-symposium "e;Mathematical descriptions of traffic flow: micro, macro and kinetic models"e; organised by the editors within the ICIAM 2019 Congress held in Valencia, Spain, in July 2019.

Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future.

A range of experts contribute introductory-level lectures on active topics in the theory of water waves.

The use of optimization techniques has become integral to the design and analysis of most industrial and socio-economic systems.

This book contains the papers presented at the XXX International Congress INGEGRAF, "e;Digital Engineering, its application in Research, Development and Innovation"e;, held on 24-25 June 2021 in Valencia, Spain.

This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied.

This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10-12 February 2021.

This book covers the application of algebraic inequalities for reliability improvement and for uncertainty and risk reduction.

The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns.

This book contains select papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), held at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from 5-7 February 2020.

These books are intended for undergraduate, graduate researchers and practitioners in computational sciences, and as reference books for an advanced computational methods course.

This work is aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control sys- tems, signal processing, and linear algebra.

A concise, systematic introduction to the principles of analysis of variance for post-graduates and professionals.

A user-oriented, practical introduction outlining methods for analysing actuarial and financial risk.

The focus of this book is the application of artificial neural networks in uncertain dynamical systems.

This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community.

This book reviews the latest risk-based techniques to protect national interests from invasive pests and pathogens before, at and within national borders.

This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models.

Updated to textbook form by popular demand, this second edition discusses diverse mathematical models used in economics, ecology, and the environmental sciences with emphasis on control and optimization.

This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict.

This book refutes anti-scientific, superficially mathematical arguments used to support anti-evolutionism in language accessible for both lay and professional audiences.

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by several interacting networks.

This textbook provides the tools for a modern post-graduate introductory course on system reliability theory.

This book presents the very concept of an index matrix and its related augmented matrix calculus in a comprehensive form.

This edited volume collects six surveys that present state-of-the-art results on modeling, qualitative analysis, and simulation of active matter, focusing on specific applications in the natural sciences.

This volume gives a unified presentation of stochastic analysis for continuous and discontinuous stochastic processes, in both discrete and continuous time.

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