Posted by **DZ123** at Sept. 10, 2017

English | 2008 | ISBN: 981279400X | PDF | pages: 453 | 2.0 mb

Posted by **arundhati** at July 28, 2014

2008 | ISBN-10: 981279400X | 444 pages | PDF | 3,6 MB

Posted by **step778** at Nov. 28, 2017

2008 | pages: 218 | ISBN: 3540798137 | DJVU | 1,8 mb

Posted by **DZ123** at Jan. 1, 2017

English | 2014 | ISBN: 3319086340 | PDF | pages: 324 | 4.4 mb

Posted by **arundhati** at Nov. 1, 2014

2014 | ISBN-10: 3319086340 | 340 pages | PDF | 4 MB

Posted by **arundhati** at Sept. 12, 2017

2016 | ISBN-10: 1470422980 | 207 pages | PDF | 4 MB

Posted by **ChrisRedfield** at July 30, 2017

Published: 2017-04-21 | ISBN: 3319472526 | PDF | 460 pages | 10.02 MB

Posted by **AvaxGenius** at July 25, 2017

English | PDF | 2004 | 392 Pages | ISBN : 3540225315 | 2.74 MB

This two-volume book on "Positivity in Algebraic Geometry" contains a contemporary account of a body of work in complex algebraic geometry loosely centered around the theme of positivity. Topics in Volume I include ample line bundles and linear series on a projective variety, the classical theorems of Lefschetz and Bertini and their modern outgrowths, vanishing theorems, and local positivity.

Posted by **AvaxGenius** at July 21, 2017

English | PDF | 2016 | 216 Pages | ISBN : 3319450255 | 5.6 MB

This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance.

Posted by **hill0** at June 18, 2017

English | 16 Apr. 2017 | ISBN: 3319472526 | 480 Pages | PDF | 10.02 MB

This book highlights recent developments in the field, presented at the Social Simulation 2015 conference in Groningen, The Netherlands. It covers advances both in applications and methods of social simulation. Societal issues addressed range across complexities in economic systems, opinion dynamics and civil violence, changing mobility patterns,