Posted by **AlexGolova** at March 29, 2018

English | 20 July 2017 | ISBN: 3319503545 | 368 Pages | PDF | 4.54 MB

Posted by **roxul** at March 26, 2018

English | ISBN: 1786302357 | 2018 | 238 pages | PDF | 5 MB

Posted by **IrGens** at Feb. 15, 2018

English | January 11, 2018 | ISBN: 1119316111 | EPUB | 320 pages | 7.9 MB

Posted by **hill0** at Jan. 22, 2018

English | 3 Oct. 2017 | ISBN: 3319575104 | 412 Pages | PDF | 3.72 MB

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. The book begins with some motivational and background

Posted by **DZ123** at Dec. 27, 2017

English | 2006 | ISBN: 0521830575 | PDF | pages: 271 | 2.5 mb

Posted by **arundhati** at Nov. 4, 2017

2017 | ISBN-10: 3319575104 | 412 pages | EPUB | 5 MB

Posted by **AvaxGenius** at Oct. 4, 2017

English | PDF,EPUB | 2017 | 377 Pages | ISBN : 3319626264 | 14.22 MB

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology.

Posted by **nebulae** at Oct. 2, 2017

English | ISBN: 1466575344 | 2014 | 247 pages | PDF | 5 MB

Posted by **Jeembo** at Dec. 29, 2017

English | 2018 | ISBN: 3319619101 | 228 Pages | PDF | 32.0 MB

These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany.

Posted by **AvaxGenius** at Sept. 7, 2017

English | PDF | 2009 | 1019 Pages | ISBN : 1402099193 | 10.96 MB

The purpose of this book is to develop and illustrate various numerical computer based methods that can be used for engineering models and equations. The intended audience is the practicing engineer who needs to model real world engineering models or the upper level engineering undergraduate or first year graduate student interested in developing skills in computer models of engineering problems.