Mathematical modelling

Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization.

Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization.

Infectious diseases are leading threats and are of highest risk to the human population globally.

Infectious diseases are leading threats and are of highest risk to the human population globally.

Mechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.

Mechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.

This graduate textbook provides a self-contained introduction to the classical theory of partial differential equations (PDEs).

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems.

This monograph presents an original method to unify the mathematical theories of well-posed problems and contact mechanics.

This proceedings volume gathers selected contributions presented at two instances of the "e;JSPS/SAC Seminar: On Gas Kinetic/Dynamics and Life Science"e;, held by the Chalmers University of Technology and University of Gothenburg, Sweden, on March 25-26, 2021 (virtual) and March 17-18, 2022 (virtual).

Computational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology.

Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of resources.

The book reviews the application of discrete fractional operators in diverse fields such as biological and chemical reactions, as well as chaotic systems, demonstrating their applications in physics.

This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods.

Der Österreichische Wissenschaftstag widmete sich 2021 dem Thema "Modellbildung und Simulation in den Wissenschaften".

Este libro se concibió para ser el texto básico de un curso de crecimiento para estudiantes de economía, con el fin de facilitar la lectura y la comprensión de los modelos tanto desde la técnica y la derivación matemática, como desde la intuición y los problemas reales que se pueden analizar a la luz de la teoría.

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.

The book is focused on physical interpretation and visualization of the obtained invariant solutions for nonlinear mathematical modeling of atmospheric and ocean waves.

This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past 50 years.

This book presents interdisciplinary research in the science of Human Cognition through mathematical and computational modeling and simulation.

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.

Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics.

The first edition of this textbook was published in 2021.

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies.

This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.

This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.

This book summarizes new discoveries on fracturing in chalk.

Spreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations.

This book summarizes new discoveries on fracturing in chalk.

The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies.

Spreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations.

Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics.

This book covers a wide range of topics such as mathematical modeling, computational methods, simulation techniques in engineering, and their applications in environmental sciences.

This book provides a conceptual understanding of deep learning algorithms.

This book provides a conceptual understanding of deep learning algorithms.

Mathematical Modelling of Fluid Dynamics and Nanofluids serves as a comprehensive resource for various aspects of fluid dynamics simulations, nanofluid preparation, and numerical techniques.

Mathematical Modelling of Fluid Dynamics and Nanofluids serves as a comprehensive resource for various aspects of fluid dynamics simulations, nanofluid preparation, and numerical techniques.

This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021.

This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021.

This book comprises select proceedings of the 5th National Conference on Reliability and Safety (NCRS 2022).

This book comprises select proceedings of the 5th National Conference on Reliability and Safety (NCRS 2022).

This book collects the results presented at the 158th European Study Group with Industry, which took place at the Centre de Recerca Matematica in Barcelona in January 2020.