Posted by **Alexpal** at June 22, 2009

Journal of Mathematical Physics is published by the American Institute of Physics; content is published online daily, collected into monthly online and printed issues (12 issues per year). Its purpose is the publication of papers in mathematical physicsâ€“that is, the application of mathematics to problems in physics and the development of mathematical methods suitable for such applications and for the formulation of physical theories. The mathematics should be written in a manner that is understandable to theoretical physicists. Occasionally, reviews of mathematical subjects relevant to physics and special issues combining papers on a topic of current interest may be published.

Posted by **Nice_smile)** at Feb. 22, 2017

English | 2017 | ISBN: 3319494988 | 118 Pages | PDF | 1.76 MB

Posted by **Nice_smile)** at Feb. 15, 2017

English | 1985 | ISBN: 9971966522 | 932 Pages | DJVU | 14.58 MB

Posted by **Nice_smile)** at Feb. 15, 2017

English | 2007 | ISBN: 9812705910 | 451 Pages | PDF | 18.98 MB

Posted by **Nice_smile)** at Feb. 10, 2017

English | 1981 | ISBN: 9027712190 | 302 Pages | PDF | 13.58 MB

Posted by **Nice_smile)** at Feb. 2, 2017

English | 1970 | ISBN: 0442078765 | 208 Pages | DJVU | 6.50 MB

Posted by **step778** at Jan. 31, 2017

2004 | pages: 389 | ISBN: 9812560556 | PDF | 13,6 mb

Posted by **hill0** at Jan. 27, 2017

English | 23 Feb. 2017 | ISBN: 3319325353 | 129 Pages | PDF | 14.48 MB

This fifteenth volume of the Poincare Seminar Series, Dirac Matter, describes the surprising resurgence, as a low-energy effective theory of conducting electrons in many condensed matter systems, including graphene and topological insulators, of the famous equation originally invented by P.A.M. Dirac for relativistic quantum.

Posted by **hill0** at Jan. 17, 2017

English | 20 Jan. 2017 | ISBN: 9811033153 | 152 Pages | PDF | 1.83 MB

This is a first book to show that the theory of the Gaussian random matrix is essential to understand the universal correlations with random fluctuations and to demonstrate that it is useful to evaluate topological universal quantities. We consider Gaussian random matrix models in the presence of a deterministic matrix source.

Posted by **Underaglassmoon** at Jan. 16, 2017

World Scientific | English | January 2017 | ISBN-10: 1786340984 | 248 pages | PDF | 4.77 mb

by Shaun Bullett (Author), Tom Fearn (Editor), Frank Smith (Editor)