Posted by **exLib** at April 14, 2017

Bir | 2001 | ISBN: 0817642234 9783764342234 | 726 pages | PDF | 15 MB

Nonlinear physics continues to be an area of dynamic modern research, with applications to physics, engineering, chemistry, mathematics, computer science, biology, medicine and economics. In this text extensive use is made of the Mathematica computer algebra system. No prior knowledge of Mathematica or programming is assumed.

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

2001 | 564 Pages | ISBN: 1852334886 | PDF | 12 MB

Posted by **naag** at March 15, 2017

2001 | 440 Pages | ISBN: 1461265665 | PDF | 8 MB

Posted by **nebulae** at Feb. 21, 2017

English | ISBN: 1466569670 | 2015 | 674 pages | PDF | 8 MB

Posted by **free4magazines** at Jan. 7, 2017

615 PDF Books | English | 4.62 GB

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.

Posted by **rotten comics** at Oct. 27, 2016

1992 | ISBN: 007032381X | English | 1392 pages | PDF | 20.5 MB

Posted by **TimMa** at Oct. 25, 2016

Butterworth-Heinemann | 2000 | ISBN: See List Under Cut | English | PDF | 1533 pages | 55 MB

In the years since the fourth edition of this seminal work was published, active research has further developed the Finite Element Method into the pre-eminent tool for the modelling of physical systems. Written by the pre-eminent professors in their fields, this new edition of the Finite Element Method maintains the comprehensive style of the earlier editions and authoritatively incorporates the latest developments of this dynamic field. …

Posted by **FenixN** at June 10, 2016

English | 1892 PDF Books | 4.63 GB

This Collection contains more than 1800 carefully selected textbooks in such sections: Algebra, Geometry, Number theory, Analysis, Applied mathematics, Calculus and much more.

Posted by **rotten comics** at May 10, 2016

1996 | ISBN: 0849391253 | English | 254 pages | PDF | 3.7 MB

Posted by **FenixN** at Jan. 4, 2016

HDRips | FLV/AVC, ~4195 kb/s | 1280x720 | Duration: 2 hours | English: AAC, 32.0 KHz (2 ch) | 434 MB

This course will provide a gentle introduction to programming concepts and will cover the benefits of learning how to program, why Python is a great language to learn, and the software development lifecycle at a very high level. The course will also cover a brief history of past methods of automated interactions with network hardware, and compare those methods with more modern methods available today, such as NETCONF as well as embedded Python interpreters in network hardware operating systems. This course is based on Python Release 2.7.