Statistical Methods For Stochastic Differential Equations

Statistical Methods for Stochastic Differential Equations by Mathieu Kessler  eBooks & eLearning

Posted by BUGSY at Sept. 14, 2015
Statistical Methods for Stochastic Differential Equations by Mathieu Kessler

Statistical Methods for Stochastic Differential Equations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Mathieu Kessler
English | May 17, 2012 | ISBN: 1439849404 | 498 Pages | PDF | 4 MB

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations.

Simulation and Inference for Stochastic Differential Equations: With R Examples  eBooks & eLearning

Posted by step778 at March 3, 2015
Simulation and Inference for Stochastic Differential Equations: With R Examples

Stefano M. Iacus, "Simulation and Inference for Stochastic Differential Equations: With R Examples"
2008 | pages: 300 | ISBN: 0387758380 | PDF | 1,9 mb

Numerical Methods for Ordinary Differential Equations: Initial Value Problems  eBooks & eLearning

Posted by ChrisRedfield at Oct. 1, 2014
Numerical Methods for Ordinary Differential Equations: Initial Value Problems

David F. Griffiths, Desmond J. Higham - Numerical Methods for Ordinary Differential Equations: Initial Value Problems
Published: 2010-11-25 | ISBN: 0857291475 | PDF | 271 pages | 7 MB

Reduced Basis Methods for Partial Differential Equations: An Introduction (Repost)  eBooks & eLearning

Posted by AvaxGenius at Sept. 25, 2017
Reduced Basis Methods for Partial Differential Equations: An Introduction (Repost)

Reduced Basis Methods for Partial Differential Equations: An Introduction By Alfio Quarteroni, Andrea Manzoni, Federico Negri
English | PDF | 2016 | 305 Pages | ISBN : 3319154303 | 2.72 MB

This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization.

Reduced Basis Methods for Partial Differential Equations: An Introduction (Repost)  eBooks & eLearning

Posted by nebulae at July 10, 2017
Reduced Basis Methods for Partial Differential Equations: An Introduction (Repost)

Alfio Quarteroni, Andrea Manzoni, Federico Negri, "Reduced Basis Methods for Partial Differential Equations: An Introduction"
2016 | 296 Pages | ISBN: 3319154303 | PDF | 3 MB
Fourier Series and Numerical Methods for Partial Differential Equations (repost)

Fourier Series and Numerical Methods for Partial Differential Equations by Richard Bernatz
English | 2010 | ISBN: 0470617969 | 318 pages | PDF | 3,7 MB

Meshfree Methods for Partial Differential Equations VIII  eBooks & eLearning

Posted by nebulae at April 7, 2017
Meshfree Methods for Partial Differential Equations VIII

Michael Griebel, "Meshfree Methods for Partial Differential Equations VIII"
English | ISBN: 3319519530 | 2017 | 231 pages | PDF | 8 MB

Reduced Basis Methods for Partial Differential Equations: An Introduction  eBooks & eLearning

Posted by naag at March 10, 2017
Reduced Basis Methods for Partial Differential Equations: An Introduction

Reduced Basis Methods for Partial Differential Equations: An Introduction By Alfio Quarteroni, Andrea Manzoni, Federico Negri
2016 | 296 Pages | ISBN: 3319154303 | PDF | 3 MB
Mathematical and Numerical Methods for Partial Differential Equations: Applications for Engineering Sciences (Repost)

Joël Chaskalovic, "Mathematical and Numerical Methods for Partial Differential Equations: Applications for Engineering Sciences"
English | 2014 | ISBN: 3319035622 | PDF | pages: 362 | 1.9 mb

General Linear Methods for Ordinary Differential Equations (Repost)  eBooks & eLearning

Posted by roxul at Jan. 8, 2017
General Linear Methods for Ordinary Differential Equations (Repost)

Zdzislaw Jackiewicz, "General Linear Methods for Ordinary Differential Equations"
2009 | ISBN-10: 0470408553 | 482 pages | Djvu | 4 MB