Posted by **step778** at Dec. 26, 2018

2007 | pages: 311 | ISBN: 0521037034 | PDF | 2,0 mb

Posted by **hill0** at April 20, 2019

by Stefan Thurner

English | 2018 | ISBN: 019882193X | 444 Pages | PDF | 16 MB

Posted by **insetes** at Feb. 10, 2019

2004 | 323 Pages | ISBN: 1461264723 | PDF | 9 MB

Posted by **AvaxGenius** at April 11, 2020

English | PDF(Repost),EPUB | 2013 | 860 Pages | ISBN : 1461457246 | 13.83 MB

This book is a history of complex function theory from its origins to 1914, when the essential features of the modern theory were in place. It is the first history of mathematics devoted to complex function theory, and it draws on a wide range of published and unpublished sources. In addition to an extensive and detailed coverage of the three founders of the subject – Cauchy, Riemann, and Weierstrass – it looks at the contributions of authors from d’Alembert to Hilbert, and Laplace to Weyl.

Posted by **interes** at May 5, 2020

English | 2010 | ISBN: 0521897726 | 330 pages | PDF | 3 MB

Posted by **roxul** at Dec. 24, 2017

English | EPUB | 2017 | 685 Pages | ISBN : 3319447041 | 10 MB

Posted by **insetes** at June 9, 2020

1996 | 193 Pages | ISBN: 0631195548 | PDF | 38 MB

Posted by **insetes** at Feb. 4, 2019

2013 | 848 Pages | ISBN: 1461457246 | PDF | 8 MB

Posted by **insetes** at May 18, 2019

2003 | 464 Pages | ISBN: 0807014001 | PDF | 30 MB

Posted by **AvaxGenius** at Dec. 21, 2019

English | PDF(Repost),EPUB | 2011 | 409 Pages | ISBN : 0817649034 | 12.9 MB

For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks.