Posted by **interes** at Feb. 11, 2017

English | 2013 | ISBN: 0073406279 | PDF | pages: 1028 | 101 mb

Posted by **tanas.olesya** at April 15, 2015

English | 2006 | ISBN: 1932661905 | 664 Pages | PDF | 33 MB

This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation.

Posted by **DZ123** at Oct. 6, 2014

English | 2013 | ISBN: 0073406279 | PDF | pages: 1028 | 65,5 mb

Posted by **nebulae** at May 22, 2014

English | 2013 | PDF | ISBN: 0073406279 | 1029 pages | 101 MB

Posted by **zxcvbn** at March 23, 2014

Sherri Messersmith, Lawrence Perez, Robert Feldman | 2013 | PDF | ISBN: 0073406279 | 1029 pages | 101 Mb

Posted by **roxul** at Sept. 4, 2017

English | ISBN: 0495108510 | 2007 | 864 pages | PDF | 16 MB

Posted by **crazylife** at Sept. 29, 2010

English | ISO | 6.84Gb

Genre: eLearning

Intended for a one- or two-semester combined elementary and intermediate algebra course, Exploring Introductory and Intermediate Algebra: A Graphing Approach is designed to assist students in making connections between mathematics and its applications. Its goal is to develop a student's mathematical skills through appropriate use of applications and to use technology to establish links between abstract mathematical concepts and visual or concrete representations.

Posted by **hill0** at June 17, 2018

English | 2018 | ISBN: 1484234766 | 270 Pages | PDF/EPUB | 8 MB

Posted by **hill0** at June 15, 2018

English | 2018 | ISBN: 1484234499 | 195 Pages | PDF/EPUB | 2.9 MB

Posted by **AvaxGenius** at June 7, 2018

English | PDF,EPUB | 2015 | 909 Pages | ISBN : 1493921215 | 38.07 MB

This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying tabular listings—for all the methods they cover. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses.