Posted by **interes** at June 20, 2016

English | 2011 | ISBN: 0486402290 | 400 pages | EPUB | 26,6 MB

Posted by **nebulae** at June 2, 2015

English | ISBN: 1466515872 | 2015 | 302 pages | PDF | 3 MB

Posted by **fdts** at Nov. 9, 2014

by Anthony Craig Fischer-Cripps

English | 2005 | ISBN: 0750310200 | 210 pages | PDF | 16.5 MB

Posted by **Specialselection** at Feb. 2, 2014

English | 2005-05-01 | ISBN: 0750310200 | 210 pages | PDF | 16.5 mb

Posted by **leonardo78** at March 17, 2017

1978 | ISBN: 007004452X | 576 pages | PDF + DJVU | (11,5 + 7,1) MB

A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations.

Posted by **ChrisRedfield** at May 6, 2014

Published: 1999-12-01 | ISBN: 1441931872, 0387989315 | PDF | 593 pages | 19 MB

Posted by **ChrisRedfield** at Sept. 20, 2013

Published: 2013-01-23 | ISBN: 3642339107, 7040322358 | PDF | 400 pages | 3 MB

Posted by **AvaxGenius** at July 30, 2017

English | EPUB | 2017 | 376 Pages | ISBN : 3662484951 | 4.86 MB

This book comprehensively presents topics, such as Dirac notation, tensor analysis, elementary differential geometry of moving surfaces, and k-differential forms. Additionally, two new chapters of Cartan differential forms and Dirac and tensor notations in quantum mechanics are added to this second edition.

Posted by **AvaxGenius** at July 23, 2017

English | PDF | 2012 | 884 Pages | ISBN : 9380250401 | 87.13 MB

During the last twenty years since the publication of the first edition of the book, the speed as well as memory of computers have increased by a few orders of magnitude. However, the precision with which the floating point operations are being handled on these computers has not improved. As a result, the relevance of roundoff errors in numerical computations has increased substantially. In this book, an attempt is made to demonstrate that with proper care the errors do not grow very fast with the size of computational problem. Thus the book is probably more relevant today than it was twenty years back. The main aim of this book has been to not only provide suitable algorithms for numerical computations, but also to explain their limitations.

Posted by **lengen** at July 6, 2017

English | June 22, 2017 | ISBN: 1491934115 | 311 Pages | PDF | 7 MB

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.