Mathematical modelling

The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series.

This book reconsiders key issues, such as description and explanation, which affect data analytics.

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 book covers advanced reliability and maintainability knowledge as applied to recent engineering problems.

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 book discusses the P-graph framework for developing and understanding effective design tools for process systems engineering, and addresses the current state of its theory and applications.

This book gives a complete overview of the roll stamping process of metal forming.

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics.

In this book, Dr.

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

The Mathematics of Errors presents an original, rigorous and systematic approach to the calculus of errors, targeted at both the engineer and the mathematician.

MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink.

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

The investigation of the role of mechanical and mechano-chemical interactions in cellular processes and tissue development is a rapidly growing research field in the life sciences and in biomedical engineering.

This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system.

This book presents a theoretical analysis of the modern methods used for modeling various chemical engineering processes.

The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular.

This monograph presents an original, concise mathematical theory for bio-mimetic swimmers in the framework of a coupled system of PDEs and ODEs.

Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research.

This book addresses complex real-world problems with recent techniques.

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19.

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.

This book should illustrate the impact of collaborations between mathematics and industry.

This monograph demonstrates a new approach to the classical mode decomposition problem through nonlinear regression models, which achieve near-machine precision in the recovery of the modes.

This book offers a broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computational systems.

This book speaks about physics discoveries that intertwine mathematical reasoning, modeling, and scientific inquiry.

This monograph presents the geoscientific context arising in decorrelative geomagnetic exploration.

This book discusses supply chain management, focusing on developments within modelling the dynamic behaviour of the supply chain.

This volume is part of collection of contributions devoted to analytical and experimental techniques of dynamical systems, presented at the 15th International Conference "e;Dynamical Systems: Theory and Applications"e;, held in Lodz, Poland on December 2-5, 2019.

This book focuses on the emergence of creative ideas from cognitive and social dynamics.

This book, following the three published volumes of the book, provides the main purpose to collect research papers and review papers to provide an overview of the main issues, results, and open questions in the cutting-edge research on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology and finance.

Inland Waterway (IW), or river vessels are in every respect different from the seagoing ships.

This book discusses the development of the Rosenbrock-Wanner methods from the origins of the idea to current research with the stable and efficient numerical solution and differential-algebraic systems of equations, still in focus.

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures.

This textbook deals with engineering, science, technical, legal, financial, ICT, logistics and people management topics necessary for managing engineered assets such as all man-made tools, gadgets, buildings, equipment, machines, infrastructure, large-scale physical and industrial facilities and systems which pervade all sectors of industry.

This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks.

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate).

This book discusses heat transfer in underground energy systems.

This book provides an overview of different deep learning-based methods for face recognition and related problems.

The focus of this thesis is the interplay of synchrony and adaptivity in complex networks.

Modern life is increasingly relying on digital technology, which in turn runs on mathematics.

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

This book presents time synchronization and its essential role as a conduit of optimized networks and as one of the key imperatives of ubiquitous connectivity.

This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations.

This book uses new ideas and language for understanding how self-organization and complexity trend toward increased efficiency.

This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years.

This book offers a guide to understanding models of vortex rings, starting from classical ones (circular vortex filament, Hill and Norbury-Fraenkel inviscid models) to very recent models incorporating viscous effects and realistic shapes of the vortex core.

This book introduces a class of alignment models based on the so-called Cucker-Smale system as well as its kinetic and hydrodynamic counterparts.

This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these areas can help to solve complex problems in the natural sciences and engineering.

This monograph considers the mathematical modeling of cellular adhesion, a key interaction force in cell biology.