Computational Discrete Mathematics
Applied Abstract Algebra (Undergraduate Texts in Mathematics)(Repost) eBooks & eLearning
Posted by Nice_smile) at Feb. 3, 2017
Applied Abstract Algebra (Undergraduate Texts in Mathematics) by Rudolf Lidl
English | 1997 | ISBN: 0387982906 | 488 Pages | PDF | 7.55 MB
English | 1997 | ISBN: 0387982906 | 488 Pages | PDF | 7.55 MB
Graph Theory, Computational Intelligence and Thought eBooks & eLearning
Posted by step778 at Dec. 22, 2014
Marina Lipshteyn, Vadim E. Levit, Ross McConnell, "Graph Theory, Computational Intelligence and Thought"
200 | pages: 237 | ISBN: 3642020283 | PDF | 3,6 mb
200 | pages: 237 | ISBN: 3642020283 | PDF | 3,6 mb
STACS 2005: 22nd Annual Symposium on Theoretical Aspects of Computer Science, Stuttgart, Germany, February 24-26, 2005. Proceed eBooks & eLearning
Posted by insetes at July 11, 2024
STACS 2005: 22nd Annual Symposium on Theoretical Aspects of Computer Science, Stuttgart, Germany, February 24-26, 2005. Proceedings By Manindra Agrawal, Nitin Saxena (auth.), Volker Diekert, Bruno Durand (eds.)
2005 | 706 Pages | ISBN: 3540249982 | PDF | 6 MB
2005 | 706 Pages | ISBN: 3540249982 | PDF | 6 MB
Discrete and Computational Geometry (Repost) eBooks & eLearning
Posted by hotspot at Dec. 12, 2012
Discrete and Computational Geometry by Satyan L. Devadoss and Joseph O'Rourke
Publisher: Princeton University Press (April 11, 2011) | ISBN: 0691145539 | English | PDF | 270 pages | 7 MB
Publisher: Princeton University Press (April 11, 2011) | ISBN: 0691145539 | English | PDF | 270 pages | 7 MB
Discrete and Computational Geometry (repost) eBooks & eLearning
Posted by libr at Sept. 12, 2018
Discrete and Computational Geometry by Satyan L. Devadoss and Joseph O'Rourke
English | 2011 | ISBN: 0691145539 | 280 pages | PDF | 7 MB
English | 2011 | ISBN: 0691145539 | 280 pages | PDF | 7 MB
Discrete and Computational Geometry (repost) eBooks & eLearning
Posted by arundhati at June 2, 2013
Satyan L. Devadoss, Joseph O'Rourke, "Discrete and Computational Geometry"
2011 | ISBN: 0691145539 | 280 pages | PDF | 7,8 MB
2011 | ISBN: 0691145539 | 280 pages | PDF | 7,8 MB
Discrete and Computational Geometry (repost) eBooks & eLearning
Posted by interes at May 29, 2014
Discrete and Computational Geometry by Satyan L. Devadoss and Joseph O'Rourke
English | 2011 | ISBN: 0691145539 | 280 pages | PDF | 7 MB
English | 2011 | ISBN: 0691145539 | 280 pages | PDF | 7 MB
Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until now is an undergraduate textbook that bridges the gap between the two.
Handbook of Discrete and Computational Geometry eBooks & eLearning
Posted by interes at Oct. 8, 2020
Handbook of Discrete and Computational Geometry by Jacob E. Goodman, Joseph O'Rourke
English | 1997 | ISBN: 0849385245 | 1008 pages | Djvu | 8,9 MB
English | 1997 | ISBN: 0849385245 | 1008 pages | Djvu | 8,9 MB
Forbidden Configurations in Discrete Geometry eBooks & eLearning
Posted by Underaglassmoon at Nov. 13, 2018
Forbidden Configurations in Discrete Geometry
Cambridge | English | 2018 | ISBN-10: 1108423914 | 238 pages | PDF | 4.53 MB
Cambridge | English | 2018 | ISBN-10: 1108423914 | 238 pages | PDF | 4.53 MB
by David Eppstein (Author)
This book surveys the mathematical and computational properties of finite sets of points in the plane, covering recent breakthroughs on important problems in discrete geometry, and listing many open problems
Data Assimilation eBooks & eLearning
Posted by Underaglassmoon at Sept. 19, 2015
Data Assimilation: A Mathematical Introduction
Springer | Mathematics | October 07, 2015 | ISBN-10: 331920324X | 242 pages | pdf | 5.87 mb
Springer | Mathematics | October 07, 2015 | ISBN-10: 331920324X | 242 pages | pdf | 5.87 mb
by Kody Law (Author), Andrew Stuart (Author), Konstantinos Zygalakis (Author)
Provides a unified mathematical framework for the systematic study of data assimilation
Opens the area of data assimilation to mathematical and computational scientists
Explains how to think about blending data with time-dependent models, a central requirement in almost all areas of human endeavor