Mathematical modelling

This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches.

Fluid Mechanics: An Intermediate Approach helps readers develop a physics-based understanding of complex flows and mathematically model them with accurate boundary conditions for numerical predictions.

This book presents as its main subject new models in mathematical neuroscience.

The definitive reference on Hilbert transforms covering the mathematical techniques for evaluating them, and their application.

Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines.

Mathematical models have long been used by geographers and regional scientists to explore the working of urban and regional systems, via a system where the equilibrium point changes slowly and smoothly as the parameters change slowly and smoothly.

This book describes an encompassing modeling approach to psychotherapy, created with the most recent research in the field.

This monograph is focused mostly on the exposition of analytical methods for the solution of problems of strong phase change.

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

Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification.

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.

This book provides a systematic study on the security of deep learning.

Modelling and Control in Biomedical Systems (including Biological Systems) was held in Reims, France, 20-22 August 2006.

Andrej V.

From past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically.

This book discusses the issues and challenges in Online Social Networks (OSNs).

A second edition of this popular introduction to numerical geodynamic modelling theory and applications for graduate students.

The purpose of this unique textbook is to bridge the gap between the need for numerical solutions to modeling techniques through computer simulations to develop skill in employing sensitivity analysis to biological and life sciences applications.

This book is the first thorough introduction to and comprehensive treatment of the theory and applications of integrodifference equations in spatial ecology.

Topics include: viscous flow, magnetohydrodynamics, atmospheric flows, shock equations, turbulence, nonlinear solid mechanics and solitons.

This book tells the story of building digital virtual human models in the context of the background, choices, and occurrences that shaped the author's own involvement and personal evolution.

This self-contained book provides an introduction to the flow-oscillator modeling of vortex-induced bluff-body oscillations.

This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research.

This volume encompasses prototypical, innovative and emerging examples and benchmarks of Differential-Algebraic Equations (DAEs) and their applications, such as electrical networks, chemical reactors, multibody systems, and multiphysics models, to name but a few.

Reactive ?

Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology.

Imparts a sound, quantitative understanding of colloidal science, based on fundamental theory and experiments with well-characterised model systems.

This book reveals the applications of AI and IoT in smart healthcare and medical systems.

Reliable scheduling in cutting conditions is very important in machining processes, and this requires thorough understanding of the physical behaviors of the machining process, which cannot be achieved without understanding the underlying mechanism of the processes.

From the late 1990s, the spectacular growth of a secondary market for credit through derivatives has been matched by the emergence of mathematical modelling analysing the credit risk embedded in these contracts.

This volume constitutes the Proceedings of the IUTAM Symposium on 'Scaling in Solid Mechanics', held in Cardiff from 25th to 29th June 2007.

Fuel cells are widely regarded as the future of the power and transportation industries.

A thorough presentation of the fundamental concepts of stellar dynamics that bridges the gap between standard texts and advanced treatises.

This is a modern and elegant introduction to engineering fluid mechanics enriched with numerous examples, exercises and applications.

First published in 1992, AY's Neuroanatomy of C.

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

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.

Mine Safety combines detailed information on safety in mining with methods and mathematics that can be used to preserve human life.

This comprehensive textbook/reference provides an in-depth overview of the key aspects of transportation analysis, with an emphasis on modeling real transportation systems and executing the models.

The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.

Since information in the brain is processed by the exchange of spikes among neurons, a study of such group dynamics is extremely important in understanding hippocampus dependent memory.

Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry.

A clear and complete postgraduate introduction to the theory and computer programming for the complex simulation of material behavior.

This book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular glycaemic monitoring, glycated haemoglobin HbA1c, diabetes homeostasis, gestational diabetes and other associated diseases and conditions.

Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types of financial analysis.

Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling.