Ordinary Differential Equations Mechanics

Lectures, Problems and Solutions for Ordinary Differential Equations (Repost)  eBooks & eLearning

Posted by roxul at Jan. 7, 2018
Lectures, Problems and Solutions for Ordinary Differential Equations (Repost)

Yuefan Deng, "Lectures, Problems and Solutions for Ordinary Differential Equations"
English | ISBN: 9814632244, 9814632252 | 2014 | 600 pages | PDF | 2 MB

Lectures, Problems And Solutions For Ordinary Differential Equations, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Nov. 1, 2017
Lectures, Problems And Solutions For Ordinary Differential Equations, Second Edition

Lectures, Problems And Solutions For Ordinary Differential Equations, Second Edition
World Scientific | English | Oct 2017 | ISBN-10: 9813226129 | 572 pages | PDF | 8.09 mb

by Yuefan Deng (Author)
Ordinary Differential Equations: Basics and Beyond (Texts in Applied Mathematics)

Ordinary Differential Equations: Basics and Beyond (Texts in Applied Mathematics) by David G. Schaeffer
English | 10 Dec. 2016 | ISBN: 1493963872 | 542 Pages | EPUB | 6.15 MB

This book develops the theory of ordinary differential equations (ODEs), starting from an introductory level (with no prior experience in ODEs assumed) through to a graduate-level treatment of the qualitative theory,

Ordinary Differential Equations: Basics and Beyond (repost)  eBooks & eLearning

Posted by interes at Oct. 29, 2017
Ordinary Differential Equations: Basics and Beyond (repost)

Ordinary Differential Equations: Basics and Beyond (Texts in Applied Mathematics, Book 65) by David Schaeffer and John Wesley Cain
English | 2016 | ISBN: 1493963872 | 542 pages | PDF | 10,7 MB

Random Ordinary Differential Equations and Their Numerical Solution  eBooks & eLearning

Posted by AvaxGenius at Oct. 27, 2017
Random Ordinary Differential Equations and Their Numerical Solution

Random Ordinary Differential Equations and Their Numerical Solution By Xiaoying Han, Peter E. Kloeden
English | PDF,EPUB | 2017 | 252 Pages | ISBN : 9811062641 | 10.38 MB

This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems. In addition, it demonstrates how RODEs are being used in the biological sciences, where non-Gaussian and bounded noise are often more realistic than the Gaussian white noise in stochastic differential equations (SODEs).
Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations

Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations by S. Chakraverty, Susmita Mall
2017 | ISBN: 1498781381 | English | 168 pages | PDF | 9 MB

Ordinary Differential Equations and Dynamical Systems [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 21, 2017
Ordinary Differential Equations and Dynamical Systems [Repost]

Thomas C. Sideris - Ordinary Differential Equations and Dynamical Systems
Published: 2013-10-17 | ISBN: 9462390207 | PDF | 225 pages | 2.1 MB

Algorithmic Lie Theory for Solving Ordinary Differential Equations (repost)  eBooks & eLearning

Posted by libr at June 9, 2017
Algorithmic Lie Theory for Solving Ordinary Differential Equations (repost)

Algorithmic Lie Theory for Solving Ordinary Differential Equations by Fritz Schwarz
English | 2008 | ISBN: 158488889X | 448 pages | PDF | 2,3 MB

Scientific Computing with Ordinary Differential Equations  eBooks & eLearning

Posted by AvaxGenius at Feb. 27, 2017
Scientific Computing with Ordinary Differential Equations

Scientific Computing with Ordinary Differential Equations By Peter Deuflhard, Folkmar Bornemann
English | PDF | 498 Pages | 2002 | ISBN : 1441930116 | 53.39 MB

This text provides an introduction to the numerical solution of initial and boundary value problems in ordinary differential equations on a firm theoretical basis. This book strictly presents numerical analysis as a part of the more general field of scientific computing.
Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations

Ernst Hairer, Christian Lubich, Gerhard Wanner, "Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations"
2006 | pages: 659 | ISBN: 3540306633 | PDF | 13,0 mb