Posted by **Underaglassmoon** at Jan. 27, 2016

Springer | Statistical Theory and Methods | February 26, 2016 | ISBN-10: 3319161385 | 273 pages | pdf | 4.23 mb

Editors: Chen, Ke, Ravindran, Anton (Eds.)

Features carefully selected, peer-reviewed, original papers based on the contributions to this international conference

Researchers will find applications to computer vision and high resolution image processing

Posted by **interes** at Jan. 6, 2017

English | 2016 | ISBN: 4431564551 | 613 pages | PDF | 15,2 MB

Posted by **Bayron** at Jan. 27, 2016

English | 2016 | ISBN: 0812993942 | 240 pages | EPUB | 13 MB

Posted by **ChrisRedfield** at May 25, 2015

Published: 2002-12-09 | ISBN: 089871527X | PDF | 261 pages | 29.75 MB

Posted by **ChrisRedfield** at Jan. 24, 2017

Published: 2016-08-03 | ISBN: 331931615X | PDF | 40 pages | 0.56 MB

Posted by **Jeembo** at Nov. 3, 2016

English | 2008 | ISBN: 9812708081 | 532 Pages | PDF | 16.5 MB

The demand for more reliable geometric computing in robotics, computer vision and graphics has revitalized many venerable algebraic subjects in mathematics among them, Grassmann Cayley algebra and Geometric Algebra.

Posted by **Underaglassmoon** at Oct. 29, 2016

Springer | Psychology | Nov. 18 2016 | ISBN-10: 3319439723 | 200 pages | pdf | 5.52 mb

Editors: Blevins-Knabe, Belinda, Austin, Ann M Berghout (Eds.)

Addresses practical implications for home childcare curricula that are grounded in research

Includes a developmental framework for the fit between the home numeracy environment and mathematical development

Examines early childhood mathematical skill development across different cultures

Posted by **ChrisRedfield** at Oct. 26, 2016

Published: 2014-12-23 | ISBN: 3319149733 | PDF | 300 pages | 6.71 MB

Posted by **tarantoga** at Oct. 7, 2016

ISBN: 3662504464 | 2016 | EPUB | 439 pages | 11 MB

Posted by **Underaglassmoon** at June 19, 2016

Springer | Graduate Texts in Mathematics | April 29 2016 | ISBN-10: 3319310887 | 273 pages | pdf | 2.32 mb

Authors: Le Gall, Jean-FranÃ§ois

Presents major applications of stochastic calculus to Brownian motion and related stochastic processes

Includes important aspects of Markov processes with applications to stochastic differential equations and to connections with partial differential equations