Overview
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 30)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (81 papers)
-
Modeling of Industrial Processes
Keywords
- applied physics
- biology and medicine
- cybersecurity
- data science
- economy
- finance and insurance
- energy
- production systems
- social challenges
- vehicles and transportation
- combinatorial optimization
- delay differential equations
- finite elements
- game theory
- Hamilton-Jacobi equations
- machine learning
- reaction-diffusion equations
- risk processes
- mathematical programming
- system identification
About this book
The goal of the European Consortium for Mathematics in Industry (ECMI) conference series is to promote interaction between academia and industry, leading to innovations in both fields. These events have attracted leading experts from business, science and academia, and have promoted the application of novel mathematical technologies to industry. They have also encouraged industrial sectors to share challenging problems where mathematicians can provide fresh insights and perspectives. Lastly, the ECMI conferences are one of the main forums in which significant advances in industrial mathematics are presented, bringing together prominent figures from business, science and academia to promote the use of innovative mathematics in industry.
Editors and Affiliations
Bibliographic Information
Book Title: Progress in Industrial Mathematics at ECMI 2018
Editors: István Faragó, Ferenc Izsák, Péter L. Simon
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-030-27550-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-27549-5Published: 23 November 2019
Softcover ISBN: 978-3-030-27552-5Published: 23 November 2020
eBook ISBN: 978-3-030-27550-1Published: 22 November 2019
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XIX, 649
Number of Illustrations: 57 b/w illustrations, 158 illustrations in colour
Topics: Mathematical Physics, Optimization, Probability Theory and Stochastic Processes, Discrete Mathematics, Data Structures and Information Theory, Computer Imaging, Vision, Pattern Recognition and Graphics