Posted by **hill0** at Dec. 12, 2017

English | 2012 | ISBN: 9789535106692 | 262 Pages | PDF | 2.64 MB

Posted by **ChrisRedfield** at Dec. 7, 2017

Published: 2003-05-29 | ISBN: 3540004165, 3642055834 | PDF | 180 pages | 3.62 MB

Posted by **Jeembo** at Dec. 1, 2017

English | 2017 | ISBN: 1138104906 | 216 Pages | PDF | 75.5 MB

This book is a first course in statistics for students of biology. Most of the examples have an ecological bias, but illustrate principles which have direct relevance for biologists doing laboratory work.

Posted by **DZ123** at Nov. 29, 2017

English | 2009 | ISBN: 0470026790 | PDF | pages: 691 | 5.8 mb

Posted by **zxcvbn** at Nov. 13, 2017

Ma Siu Lun, Ng Kah Loon, Victor Tan | 2012 | PDF | ISBN: 1259011518 | 243 pages | 7 MB

Posted by **arundhati** at Oct. 22, 2017

2017 | ISBN-10: 1472475151 | 176 pages | PDF | 9 MB

Posted by **exLib** at April 20, 2012

InTeO | 2012 | ISBN: 9535105140 9789535105145 | 284 pages | PDF | 11 MB

The book on emerging informatics brings together the new concepts and applications that will help define and outline problem solving methods and features in designing business and human systems. It covers international aspects of information systems design in which many relevant technologies are introduced for the welfare of human and business systems. This initiative can be viewed as an emergent area of informatics that helps better conceptualise and design new world-class solutions.

Posted by **IrGens** at Oct. 9, 2017

Course No. 1480 | .MP4, AVC, 1100 kbps, 856x480 | English, AAC, 192 kbps, 2 Ch | 24x30 mins | + PDF Guidebook | 8.5 GB

Posted by **hill0** at Oct. 4, 2017

English | 1 Jan. 2010 | ISBN: 0495387894 | 639 Pages | PDF | 9.64 MB

This text bridges the gap between traditional and reform approaches to algebra encouraging students to see mathematics in context. It presents fewer topics in greater depth, prioritizing data analysis as a foundation for mathematical modeling,

Posted by **AvaxGenius** at Sept. 19, 2017

English | PDF,EPUB | 2017 | 457 Pages | ISBN : 3319573020 | 16.28 MB

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a num-ber of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix normscombined with main direct and iterative numerical methods, least squares problems, and eigenproblems.