An Introduction With Applications

Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling

Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling
Wiley | English | April 2017 | ISBN-10: 1119377382 | 304 pages | PDF | 3.84 mb

by Michael J. Panik (Author)

Bifurcation Theory: An Introduction with Applications to PDEs  eBooks & eLearning

Posted by Jeembo at March 18, 2017
Bifurcation Theory: An Introduction with Applications to PDEs

Bifurcation Theory: An Introduction with Applications to PDEs by Hansjörg Kielhöfer
English | 2003 | ISBN: 0387404015 | 371 Pages | PDF | 4.1 MB

In the past three decades, bifurcation theory has matured into a well-established and vibrant branch of mathematics. This book gives a unified presentation in an abstract setting of the main theorems in bifurcation theory, as well as more recent and lesser known results.

Stochastic Differential Equations: An Introduction with Applications (3rd edition)  eBooks & eLearning

Posted by ChrisRedfield at Dec. 29, 2016
Stochastic Differential Equations: An Introduction with Applications (3rd edition)

Bernt Oksendal - Stochastic Differential Equations: An Introduction with Applications (3rd edition)
Published: 1992 | ISBN: 3540533354 | PDF | 239 pages | 4.58 MB

Abstract Algebra: An introduction with Applications, 2 edition  eBooks & eLearning

Posted by interes at June 20, 2016
Abstract Algebra: An introduction with Applications, 2 edition

Abstract Algebra: An introduction with Applications, 2 edition (De Gruyter Textbook) by Derek J.S. Robinson
English | 2015 | ISBN: 3110340860 | 337 pages | PDF | 3,4 MB

Stochastic differential equations: An introduction with applications  eBooks & eLearning

Posted by ChrisRedfield at Feb. 8, 2016
Stochastic differential equations: An introduction with applications

B. K Øksendal - Stochastic differential equations: An introduction with applications
Published: | ISBN: 038715292X, 354015292X, 0387533354 | PDF | 205 pages | 4.3 MB

Stochastic Differential Equations: An Introduction With Applications (4th edition)  eBooks & eLearning

Posted by ChrisRedfield at Dec. 27, 2015
Stochastic Differential Equations: An Introduction With Applications (4th edition)

Bernt Oksendal - Stochastic Differential Equations: An Introduction With Applications (4th edition)
Published: 1995 | ISBN: 3540602437, 0387602437 | PDF | 271 pages | 4.71 MB

Stochastic Differential Equations: An Introduction with Applications (5th edition)  eBooks & eLearning

Posted by ChrisRedfield at Dec. 26, 2015
Stochastic Differential Equations: An Introduction with Applications (5th edition)

Bernt K. Oksendal - Stochastic Differential Equations: An Introduction with Applications (5th edition)
Published: 2002-11-04 | ISBN: 3540637206 | PDF | 326 pages | 11.79 MB

Stochastic Differential Equations. An Introduction With Applications (2nd edition)  eBooks & eLearning

Posted by ChrisRedfield at Dec. 18, 2015
Stochastic Differential Equations. An Introduction With Applications (2nd edition)

Bernt Oksendal - Stochastic Differential Equations. An Introduction With Applications (2nd edition)
Published: 1989-12-14 | ISBN: 3540517405 | PDF | 201 pages | 5.17 MB

Gauge Field Theories: An Introduction with Applications  eBooks & eLearning

Posted by ChrisRedfield at Nov. 13, 2015
Gauge Field Theories: An Introduction with Applications

Mike Guidry - Gauge Field Theories: An Introduction with Applications
Published: 1991-09-13 | ISBN: 0471631175, 047135385X | PDF + DJVU | 624 pages | 33.88 MB
"Identification of Dynamic Systems: An Introduction with Applications" by Rolf Isermann, Marco Münchhof (Repost)

"Identification of Dynamic Systems: An Introduction with Applications" by Rolf Isermann, Marco Münchhof
Advanced Textbooks in Control and Signal Processing
Sper | 2011 | ISBN: 3540788794 3540788786 9783540788799 | 732 pages | PDF | 7 MB

This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement.