Overview
- Presents a large number of detailed examples from applications in physics, technology, biology and chemistry
- Integrates theory and practical exercises including software and solutions to selected problems, allowing hands-on learning of all aspects of computational modeling
- Covers in a unified way applied mathematics from calculus and analysis to methods for partial differential equations and numerical solution techniques
- Contains an introduction to Matlab and C for algorithm development and computational analysis
- Contains many sample implementations of core algorithms and numerical testing
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Keywords
- Numerical mathematics
- Differential equations
- Error assessment and method analysis
- Algorithm development and testing
- Application and interpretation of results
- Numerical testing
- Computational modeling
- Applied Mathematics
About this book
Particular attention is given to engineering mathematics, addressing modeling, analysis, method development, implementation and testing of algorithms, as well as application to actual problems and critical interpretation of the results. The book can be used throughout bachelor programs and parts of masters programs, presenting a comprehensive suite of courses that link formal abstract thinking on the one hand to intuitive model formulation, critical algorithm development and interpretation of results on the other hand. The books contains numerous examples of practical applications from physics, technology, biology and chemistry. It also contains an introduction to Matlab and C for algorithm development and computational analysis. Software and solutions to selected problems are included.
Authors and Affiliations
About the authors
The main research focus is on the mathematical development of computational methods for
systems of nonlinear differential equations. The models studied at MMS represent complex
physical mechanisms acting simultaneously at micro- and macro scales. Much of the work
is motivated by fluid-mechanical problems, from nano- and micro fluidics to macroscopic
turbulence.
The three directions of MMS expertise, i.e., (i) mathematical models, (ii) numerical methods and (iii) advanced reduction and regularisation techniques, are exploited in multi-disciplinary research. The work is characterised by balancing fundamental orientation and application perspective. Specific targets are derived from unresolved issues in science and technology.
Main application areas are in fluid technology, health and energy such as:
– multi-phase turbulence and heat transfer,
– aerosol formation and phase transitions,
– biomedical flows in complex domains,
– nano-engineered materials for energy systems
Specific challenges range from understanding the physics of boiling and turbulence modulation,
to novel methods of controlled respiratory drug delivery. Moreover, new methods are forged
for the prediction and mitigation of cerebral haemorrhages and the optimisation of nanostructured inclusions for new materials in energy harvesting.
While these applications and research fields appear diverse, the binding element is his interest in mathematical elegance and abstraction to discover and exploit the simplicity behind apparent complexity in physical systems.
Ruud van Damme is associate professor in numerical analysis in the Multiscale Modeling and Simulation. This group is part of the Department of Applied Mathematics at the University of Twente.
His research interests are in mathematics, physics and numerics. The main topics lie in fields such as fluid mechanics, quantum mechanics, graph theory and stochastic processes. His recent research concentrates on advanced numerical techniques and their application, such as splines and wavelets, adaptive grid methods and high dimensional integration.
Bibliographic Information
Book Title: Mathematical Modeling and Simulation
Authors: Bernard Geurts, Ruud Van Damme
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-319-72931-2Due: 14 December 2024
eBook ISBN: 978-3-319-72932-9Due: 14 December 2024
Edition Number: 1
Number of Pages: X, 440