Mathematical modelling

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.

In recent decades, kinetic theory - originally developed as a field of mathematical physics - has emerged as one of the most prominent fields of modern mathematics.

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.

This book shows how neural networks are applied to computational mechanics.

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.

This book presents a selection of the talks resulting from research carried out by different groups at the Centre de Recerca Matematica and presented at the International Congress on Industrial and Applied Mathematics, held in Valencia in 2019.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

This book contains some of the results presented at the mini-symposium titled Emerging Problems in the Homogenization of Partial Differential Equations, held during the ICIAM2019 conference in Valencia in July 2019.

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation.

This book results from the XVIII Spanish-French School 'Jacques Louis Lions' on Numerical Simulation in Physics and Engineering, that took place in Las Palmas de Gran Canaria from 25th to 29th June 2018.

This book presents a panorama about the recent progress of industrial mathematics from the point of view of both industrials and researchers.

Fractal structures or geometries currently play a key role in all models for natural and industrial processes that exhibit the formation of rough surfaces and interfaces.

How does creativity evolve in mind?

This book presents various contemporary topics in applied mathematics education and addresses both interested undergraduate instructors and STEM education researchers.

This book studies complex systems with elements represented by random variables.

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence.

This volume features a variety of research projects at the intersection of mathematics and public policy.

Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control is a systematic examination of methods used to overcome the inevitable system uncertainties arising when a fault estimation (FE) function and a fault-tolerant controller interact as they are employed together to compensate for system faults and maintain robustly acceptable system performance.

This book brings together ideas from experts in cognitive science, mathematics, and mathematics education to discuss these issues and to present research on how mathematics and its learning and teaching are evolving in the Information Age.

This book results from the talks presented at the First Conference on Transfer between Mathematics & Industry (CTMI 2019).

This textbook is an introduction to the subject of inverse problems with an emphasis on practical solution methods and applications from geophysics.

This work collects the contributions presented at the INdAM Workshop "e;Mathematical modeling and Analysis of degradation and restoration in Cultural Heritage - MACH2019"e; held in Rome in March 2019.

This contributed volume collects talks originally given at the 18th International Symposium on Dynamic Games and Applications, held in Grenoble, France from July 9-12, 2018.

This book is based on a two-day symposium at the Paris Institute of Advanced Study titled "e;space-time geometries and movement in the brain and the arts"e;.

This volume tackles a variety of biological and medical questions using mathematical models to understand complex system dynamics.

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods.

The unification of symbolist and connectionist models is a major trend in AI.

In this book, the author deals with the mathematical modelling, nonlinear control and performance evaluation of a conceptual anti-aircraft gun based mobile air defence system engaging an attacking three-dimensional aerial target.

This book provides an overview of power electronic converters for numerical simulations based on DIgSILENT PowerFactory.

This book contains articles presented at the 9th Workshop on Differential-Algebraic Equations held in Paderborn, Germany, from 17-20 March 2019.

This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process.