Mathematical modelling

There have been substantial developments in meshfree methods, particle methods, and generalized finite element methods since the mid 1990s.

This book describes a novel methodology for studying algorithmic skills, intended as cognitive activities related to rule-based symbolic transformation, and argues that some human computational abilities may be interpreted and analyzed as genuine examples of extended cognition.

This book reports on the latest advances in and applications of memristors, memristive devices and systems.

This book tackles the challenging question which mathematical formalisms and possibly new physical notions should be developed for quantitatively describing human cognition and behavior, in addition to the ones already developed in the physical and cognitive sciences.

Mathematical methods and theories with interdisciplinary applications are presented in this book.

This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Grodek nad Dunajcem, Poland in February 2016.

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.

The book surveys the state-of-the-art methods that are currently available to model and simulate the presence of rigid particles in a fluid flow.

This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science.

Three coherent parts form the material covered in this text, portions of which have not been widely covered in traditional textbooks.

This volume collects ten surveys on the modeling, simulation, and applications of active particles using methods ranging from mathematical kinetic theory to nonequilibrium statistical mechanics.

This book presents practical applications of the finite element method to general differential equations.

This book presents the latest research in computational methods for modeling and simulating brain disorders.

This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas and combines mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.

In this text, we introduce the basic concepts for the numerical modeling of partial differential equations.

This book presents the theory of waves propagation in a fluid-saturated porous medium (a Biot medium) and its application in Applied Geophysics.

This book collects contributions to the XXIII international conference "e;Nonlinear dynamics of electronic systems"e;.

This monograph presents urban simulation methods that help in better understanding urban dynamics.

This book presents state-of-the-art research on forming processes and formed metal product development aided by the Finite Element Method (FEM).

This book addresses recent technological progress that has led to an increased complexity in many natural and artificial systems.

This contributed volume comprises research articles and reviews on topics connected to the mathematical modeling of cellular systems.

This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations.

This book presents a new approach that can be applied to complex, integrated individual and social human processes.

In this book, practicing physicians and experts in anticipation present arguments for a new understanding of medicine.

These proceedings contain research papers presented at the 5th International Conference on Dynamics in Logistics, held in Bremen, Germany, February 2016.

This edited volume provides an overview the state-of-the-art in the field of cognitive neuroscience of memory consolidation.

This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching.

This text, now in its second edition, presents the mathematical background needed to design many optical combinations that are used in astronomical telescopes and cameras.

This volume results from the "e;Second International Conference on Dynamics of Disasters"e; held in Kalamata, Greece, June 29-July 2, 2015.

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications.

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining.

This book focuses on novel reduced cell and stack models for proton exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel cells (P-SOFCs) that serve to reduce the computational cost by two orders of magnitude or more with desired numerical accuracy, while capturing both the average properties and the variability of the dependent variables in the 3D counterparts.

The book presents a state-of-the-art overview of biomechanical and mechanobiological modeling and simulation of soft biological tissues.

This contributed volume celebrates the work of Tayfun E.

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St.

This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods.

This book presents a comprehensive topical overview on soil dynamics and foundation modeling in offshore and earthquake engineering.

The papers in this volume present rules for mechanical models in a general systematic way, always in combination with small and large examples, many from industry, illustrating the most important features of modeling.

This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data?

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach.

This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research.

Presenting an analysis of different approaches for predicting the service life of buildings, this monograph discusses various statistical tools and mathematical models, some of which have rarely been applied to the field.

This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks.

This book reports on advancedtheories and cutting-edge applications in the field of soft computing.

This book presents lecture notes from the XVI 'Jacques-Louis Lions' Spanish-French School on Numerical Simulation in Physics and Engineering, held in Pamplona (Navarra, Spain) in September 2014.

This book analyses quantitative open source software (OSS)reliability assessment and its applications, focusing on three major topicareas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment;the Practical Applications of OSS Reliability Modelling; and RecentDevelopments in OSS Reliability Modelling.

This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering.

This book is the fourth in a multidisciplinary series which brings together leading researchers in the STEAM-H disciplines (Science, Technology, Engineering, Agriculture, Mathematics and Health) to present their perspective on advances in their own specific fields, and to generate a genuinely interdisciplinary collaboration that transcends parochial subject-matter boundaries.

The book is intended as an advanced undergraduate or first-year graduate course for students from various disciplines, including applied mathematics, physics and engineering.

This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity.