- Get access
- Contains open access
- ISSN: 0956-7925 (Print), 1469-4425 (Online)
- Editors: Martin Burger Department Mathematik, Friedrich-Alexander Universität Erlangen-Nürnberg|Cauerstrasse 11, 91058 Erlangen|Germany|| , John King School of Mathematical Science|University of Nottingham|University Park|Nottingham NG7 2RD , Michael Jeffrey Ward Department of Mathematics|121-1984 Mathematics Rd|University of British Columbia|Vancouver BC|CANADA V6T 1Z2 and Scott McCue School of Mathematical Sciences|Science and Engineering Faculty|Queensland University of Technology|O-Block, Level 6, Room O609B-01|Garden Point Campus|2 George St.|Brisbane City QLD 4000|Australia|
- Editorial board
Since 2008 EJAM surveys have been expanded to cover Applied and Industrial Mathematics. Coverage of the journal has been strengthened in probabilistic applications, while still focusing on those areas of applied mathematics inspired by real-world applications, and at the same time fostering the development of theoretical methods with a broad range of applicability. Survey papers contain reviews of emerging areas of mathematics, either in core areas or with relevance to users in industry and other disciplines. Research papers may be in any area of applied mathematics, with special emphasis on new mathematical ideas, relevant to modelling and analysis in modern science and technology, and the development of interesting mathematical methods of wide applicability.
Recently published articles
EJAM blogs
-
Modelling silicosis: The structure of equilibria
- 20 December 2019,
- Silicosis is lung disease caused by the inhalation of respirable dust that contains quartz or similar particles. These particles can embed themselves deeply...
-
Displacement convexity for the entropy in semi-discrete non-linear Fokker-Planck equations
- 20 August 2019,
- In the year 1781 the problem of optimal transport was first formally discussed by the French mathematician Gaspard Monge. The major point in this field is the...
-
Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm
- 19 March 2019,
- In recent years, applied analysis has seen an increase in interest in neural networks.
Facebook