Posted by **Jeembo** at Dec. 24, 2016

English | 2012 | ISBN: 0321783972 | 1120 Pages | PDF | 54.9 MB

The Graphs and Models series by Bittinger, Beecher, Ellenbogen, and Penna is known for helping students “see the math” through its focus on visualization and technology.

Posted by **roxul** at Sept. 12, 2016

English | 2005 | ISBN: 0321279115 | PDF | pages: 1059 | 15 MB

Posted by **step778** at May 12, 2016

2012 | pages: 805 | ISBN: 0321783956 | PDF | 23 mb

Posted by **roxul** at April 10, 2016

English | ISBN: 0321725557 | 2012 | 960 pages | PDF | 74 MB

Posted by **viserion** at Sept. 21, 2015

ISBN: 0321783964 | 2012 | PDF | 1120 pages | 29 MB

Posted by **interes** at Oct. 28, 2014

English | 2011 | ISBN: 0321726340 | 1104 pages | PDF | 25,6 MB

The Bittinger Graphs and Models Series helps readers learn algebra by making connections between mathematical concepts and their real-world applications. Abundant applications, many of which use real data, offer students a context for learning the math.

Posted by **DZ123** at July 3, 2014

English | 2005 | ISBN: 0321279115 | PDF | pages: 1059 | 18,6 mb

Posted by **enmoys** at Aug. 5, 2013

2006 | 1060 Pages | ISBN: 0321279115 | PDF | 22 MB

Posted by **hill0** at Feb. 8, 2017

English | 16 Feb. 2017 | ISBN: 3319434756 | 559 Pages | PDF | 5.31 MB

The emphasis in this book is placed on general models (Markov chains, random fields, random graphs), universal methods (the probabilistic method, the coupling method, the Stein-Chen method, martingale methods, the method of types) and versatile tools (Chernoff's bound, Hoeffding's inequality, Holley's inequality) whose domain of application extends first chapters give in considerable detail the background necessary to understand the rest of the book.

Posted by **AlenMiler** at Dec. 14, 2016

English | 22 Dec. 2016 | ISBN: 110717287X | 375 Pages | AZW3/MOBI/EPUB/PDF (conv) | 56.89 MB

This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them.