Posted by **Underaglassmoon** at March 16, 2018

CRC Press | English | 2018 | ISBN-10: 1498764169 | 374 pages | PDF | 13.28 MB

by Daniele Bertaccini (Author), Fabio Durastante (Author)

Posted by **roxul** at March 16, 2018

English | ISBN: 3319239996 | 2016 | 156 pages | EPUB | 2 MB

Posted by **roxul** at March 16, 2018

English | 10 May 2016 | ISBN: 3319287443 | 220 Pages | EPUB | 4 MB

Posted by **roxul** at March 15, 2018

English | 2017 | ISBN-10: 3319461249 | 293 pages | EPUB | 6 MB

Posted by **naag** at March 13, 2018

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 35 | 297 MB

A complete college-level course for engineers, computer scientists or physicists

Posted by **AvaxGenius** at Feb. 28, 2018

English | True PDF | 2006 | 685 Pages | ISBN : 0817644342 | 31.53 MB

"There are three words that characterize this work: thoroughness, completeness and clarity. The authors are congratulated for taking the time to write an excellent linear systems textbook! …The authors have used their mastery of the subject to produce a textbook that very effectively presents the theory of linear systems as it has evolved over the last thirty years. The result is a comprehensive, complete and clear exposition that serves as an excellent foundation for more advanced topics in system theory and control." —IEEE Transactions on Automatic Control

Posted by **AvaxGenius** at Feb. 26, 2018

This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics.

Posted by **hill0** at Feb. 24, 2018

English | 22 Jan. 2018 | ISBN: 3319573020 | 450 Pages | PDF (True) | 6.91 MB

Posted by **AvaxGenius** at Feb. 23, 2018

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.

Posted by **AvaxGenius** at Feb. 17, 2018

This book originated from a Discussion Group (Teaching Linear Algebra) that was held at the 13th International Conference on Mathematics Education (ICME-13). The aim was to consider and highlight current efforts regarding research and instruction on teaching and learning linear algebra from around the world, and to spark new collaborations. As the outcome of the two-day discussion at ICME-13, this book focuses on the pedagogy of linear algebra with a particular emphasis on tasks that are productive for learning.