Posted by **libr** at Dec. 23, 2015

French | 2005 | ISBN: 2701141087 | PDF | 800 pages | 5,9 MB

Posted by **interes** at July 2, 2013

French | 2005 | ISBN: 2701141087 | PDF | 800 pages | 5,9 MB

Public concerné : candidats au CAPES et à l'agrégation (option physique) de Sciences physiques. Véritable tout-en-un, ce second tome consacré à la chimie est l'outil indispensable pour préparer efficacement l'écrit du CAPES.

Posted by **AvaxGenius** at April 24, 2018

This book puts forward a new role for mathematics in the natural sciences. In the traditional understanding, a strong viewpoint is advocated, on the one hand, according to which mathematics is used for truthfully expressing laws of nature and thus for rendering the rational structure of the world. In a weaker understanding, many deny that these fundamental laws are of an essentially mathematical character, and suggest that mathematics is merely a convenient tool for systematizing observational knowledge.

Posted by **hill0** at April 23, 2018

English | 13 Apr. 2018 | ISBN: 3319725769 | 298 Pages | PDF (True) | 2.9 MB

Posted by **hill0** at April 23, 2018

English | 2017 | ISBN: 0078027683 | 1088 Pages | PDF | 55 MB

Posted by **hill0** at April 21, 2018

English | 1 Apr. 2018 | ISBN: 3319733761 | 410 Pages | PDF/EPUB | 9.2 MB

Posted by **hill0** at April 18, 2018

English | 2018 | ISBN: 1506221033 | 272 Pages | PDF | 3.02 MB

Posted by **AlexGolova** at April 15, 2018

English, German | 1 May 2017 | ISBN: 3319469150 | 996 Pages | PDF | 31.85 MB

Posted by **Jeembo** at April 14, 2018

English | 1995 | ISBN: 0521558913 | 304 Pages | PDF | 36.2 MB

This book defends the prospects for a science of society. It argues that behind the diverse methods of the natural sciences lies a common core of scientific rationality that the social sciences can and sometimes do achieve.

Posted by **AvaxGenius** at April 14, 2018

English | EPUB | 2014 | 536 Pages | ISBN : 3319117335 | 3.95 MB

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines.