American Institute of Mathematical Sciences

Advanced
March  2008, 1(1): i-ii. doi: 10.3934/krm.2008.1.1i

Editorial

Pierre Degond 1, , Seiji Ukai 2, and  Tong Yang 3,

1. 

Mathématiques pour l'Industrie et la Physique, CNRS UMR 5640, Université Paul Sabatier, 118, route de Narbonne, 31062 Toulouse Cedex 4
2. 

17-26 Iwasaki, Hodogaya, Yokohama 240-0015
3. 

Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong

Published  February 2008

Kinetic theory is probably one of the most efficient and important theories allowing to bridge the microscopic and macroscopic descriptions of a variety of dynamical phenomena in many fields of science, technology, and more generally, in virtually all domains of knowledge. Originally rooted in the theory of rarefied gases since the seminal works of Boltzmann and Maxwell in the 19th century, followed by landmarks established by Hilbert, Chapman and Enskog, Carleman, Grad, and more recent mathematicians, kinetic theory has expanded to many new areas of applications, ranging from physics to economics and social sciences including especially modern fields such as biology, epidemiology, and genetics.

For more information please click the “Full Text” above.
Citation: Pierre Degond, Seiji Ukai, Tong Yang. Editorial. Kinetic & Related Models, 2008, 1 (1) : i-ii. doi: 10.3934/krm.2008.1.1i
[1]

Benedetto Piccoli. Editorial. Networks & Heterogeneous Media, 2006, 1 (1) : i-ii. doi: 10.3934/nhm.2006.1.1i
[2]

Marcus Greferath. Editorial. Advances in Mathematics of Communications, 2007, 1 (1) : i-ii. doi: 10.3934/amc.2007.1.1i
[3]

Ajay Jasra, Kody J. H. Law, Vasileios Maroulas. Editorial. Foundations of Data Science, 2019, 1 (1) : ⅰ-ⅲ. doi: 10.3934/fods.20191i
[4]

Program Committee. Editorial. Advances in Mathematics of Communications, 2010, 4 (2) : i-ii. doi: 10.3934/amc.2010.4.2i
[5]

Program Committee. Editorial. Advances in Mathematics of Communications, 2011, 5 (2) : i-ii. doi: 10.3934/amc.2011.5.2i
[6]

F. Castro, D. Gomez-Perez, A. Klapper, I. Rubio, M. Sha, A. Tirkel. Editorial. Advances in Mathematics of Communications, 2017, 11 (2) : i-i. doi: 10.3934/amc.201702i
[7]

Lassi Päivärinta, Matti Lassas, Jackie (Jianhong) Shen. Editorial. Inverse Problems & Imaging, 2007, 1 (1) : i-iii. doi: 10.3934/ipi.2007.1.1i
[8]

A. Kerber, M. Kiermaier, R. Laue, M. O. Pavčević, A. Wassermann. Editorial. Advances in Mathematics of Communications, 2016, 10 (3) : i-ii. doi: 10.3934/amc.201603i

[9]

The Editors. Editorial. Advances in Mathematics of Communications, 2014, 8 (4) : i-ii. doi: 10.3934/amc.2014.8.4i
[10]

Kok Lay Teo, Shuping Chen. Editorial. Journal of Industrial & Management Optimization, 2005, 1 (1) : i-i. doi: 10.3934/jimo.2005.1.1i
[11]

Raquel Pinto, Paula Rocha, Paolo Vettori. Editorial. Advances in Mathematics of Communications, 2016, 10 (1) : i-i. doi: 10.3934/amc.2016.10.1i
[12]

Marcus Greferath. Editorial. Advances in Mathematics of Communications, 2013, 7 (1) : i-i. doi: 10.3934/amc.2013.7.1i
[13]

Subhamoy Maitra. Guest editorial. Advances in Mathematics of Communications, 2019, 13 (4) : ⅰ-ⅱ. doi: 10.3934/amc.2019033
[14]

Editorial Office. Retraction by the Editorial Office. Discrete & Continuous Dynamical Systems - B, 2014, 19 (4) : 961-961. doi: 10.3934/dcdsb.2014.19.961
[15]

Editorial Board. A note from the Editorial Board. Kinetic & Related Models, 2012, 5 (1) : i-i. doi: 10.3934/krm.2012.5.1i
[16]

Editorial Board. A note from the Editorial Board. Kinetic & Related Models, 2014, 7 (1) : i-i. doi: 10.3934/krm.2014.7.1i

2019 Impact Factor: 1.311

Tools

Metrics

  • PDF downloads (17)
  • HTML views (0)
  • Cited by (0)

Other articles
by authors

[Back to Top]

Copyright © 2020 American Institute of Mathematical Sciences