Advanced Numerical Methods For Air Polution Model

Numerical Methods for Eulerian and Lagrangian Conservation Laws (Frontiers in Mathematics) 1st Edition (Repost)

Numerical Methods for Eulerian and Lagrangian Conservation Laws (Frontiers in Mathematics) by Bruno Després
English | 20 July 2017 | ISBN: 3319503545 | 368 Pages | PDF | 4.54 MB
Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution

Bouchaib Radi and Abdelkhalak El Hami, "Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution"
English | ISBN: 1786302357 | 2018 | 238 pages | PDF | 5 MB
Numerical Methods for Solving Partial Differential Equations: A Comprehensive Introduction for Scientists and Engineers

Numerical Methods for Solving Partial Differential Equations: A Comprehensive Introduction for Scientists and Engineers by George F. Pinder
English | January 11, 2018 | ISBN: 1119316111 | EPUB | 320 pages | 7.9 MB
Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences)

Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences) by Zhongqiang Zhang
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
Quantitative Thermochronology: Numerical Methods for the Interpretation of Thermochronological Data (Repost)

Jean Braun, Peter van der Beek, Geoffrey Batt, "Quantitative Thermochronology: Numerical Methods for the Interpretation of Thermochronological Data"
English | 2006 | ISBN: 0521830575 | PDF | pages: 271 | 2.5 mb

Numerical Methods for Stochastic Partial Differential Equations with White Noise  eBooks & eLearning

Posted by arundhati at Nov. 4, 2017
Numerical Methods for Stochastic Partial Differential Equations with White Noise

Zhongqiang Zhang, "Numerical Methods for Stochastic Partial Differential Equations with White Noise"
2017 | ISBN-10: 3319575104 | 412 pages | EPUB | 5 MB
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology By David Holcman
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.

Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB (Repost)  eBooks & eLearning

Posted by nebulae at Oct. 2, 2017
Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB (Repost)

Victor J. Law, "Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB"
English | ISBN: 1466575344 | 2014 | 247 pages | PDF | 5 MB
Advanced Computational Methods for Knowledge Engineering: Proceedings of the 5th International Conference

Advanced Computational Methods for Knowledge Engineering: Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017 by Nguyen-Thinh Le, Tien van Do, Ngoc Thanh Nguyen, Hoai An Le Thi
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.

Numerical Methods for Nonlinear Engineering Models  eBooks & eLearning

Posted by AvaxGenius at Sept. 7, 2017
Numerical Methods for Nonlinear Engineering Models

Numerical Methods for Nonlinear Engineering Models By John R. Hauser
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.