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Download Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms eBook

by Hans Christian Öttinger

Download Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms eBook
ISBN:
354058353X
Author:
Hans Christian Öttinger
Category:
Computer Science
Language:
English
Publisher:
Springer; Softcover reprint of the original 1st ed. 1996 edition (November 22, 1995)
Pages:
362 pages
EPUB book:
1902 kb
FB2 book:
1260 kb
DJVU:
1809 kb
Other formats
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Rating:
4.9
Votes:
833


This book consists of two strongly interweaved parts: the mathematical theory of stochastic processes and its applications to molecular theories of polymeric fluids.

eBook 51,16 €. price for Russian Federation (gross). ISBN 978-3-642-58290-5. This book consists of two strongly interweaved parts: the mathematical theory of stochastic processes and its applications to molecular theories of polymeric fluids. The comprehensive mathematical background provided in the first part should be equally useful in many other branches of engineering and the natural sciences.

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HANS CHRISTIAN Ö TTINGER is Professor of Polymer Physics and a former chairman of the materials science department at the ETH Zurich (Swiss Federal Institute of Technology)

Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing. HANS CHRISTIAN Ö TTINGER is Professor of Polymer Physics and a former chairman of the materials science department at the ETH Zurich (Swiss Federal Institute of Technology). In addition, he holds memberships in the American, British, and German Societies of Rheology, the German Physical Society, and the Swiss Rheology and Polymer Groups.

Stochastic Processes Polymer Dynamics and Fluid Mechanics. Informazioni bibliografiche. and Examples for Developing Simulation Algorithms, Hans Christian Öttinger. 1. Stochastic Processes. Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms, Hans Christian Öttinger.

This book consists of two strongly interweaved parts: the mathematical theory of stochastic processes and its applications to molecular theories of polymeric fluids. As a benefit from the second part one gains a more direct understanding of polymer dynamics, one can more easily identify exactly solvable models, and one can develop efficient computer simulation algorithms in a straightforward manner.

Start by marking Stochastic Processes in Polymeric Fluids: Tools and . The classical computer simulation technique for static problems in statis tical mechanics is the Monte Carlo method developed in the early 1950s

Start by marking Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms as Want to Read: Want to Read savin. ant to Read. The classical computer simulation technique for static problems in statis tical mechanics is the Monte Carlo method developed in the early 1950s. The name of this method underlines how unusual and strange the idea of using ran dom numbers in the exact sciences is at first glance. However, the Monte Carlo method is a rigorous and efficient means for evaluating moments and static spa tial correlation functions for given probability distributions.

Hans Christian Ottinger. The comprehensive mathematical background provided in the first section will be equally useful in many other branches of engineering and the natural sciences. The second part provides readers with a more direct understanding of polymer dynamics, allowing them to identify exactly solvable models more easily, and to develop efficient computer simulation algorithms in a straightforward manner.

Hans Christian Öttinger. Tools and examples for developing simulation algorithms. Stochastic simulation techniques play an important role in investigating polymer dynamics. Such simulations can be made more efficient by applying variance reduction methods. Hans Christian Öttinger. Spectral element methods are developed for simulating viscoelastic flows based on a micro–macro modelling approach in which the polymer dynamics is described by the evolution of an ensemble of Brownian configuration fields. The application of the technique to the start-up of Couette flow and flow between eccentrically rotating cylinders are described.

book by Hans Christian Vttinger. A SPECTER is haunting the scientific world-the specter of com- puters.

I hope that helps you in your future endeavors.

Hans Christian Öttinger - Stochastic Processes in Polymeric Fluids - Tools and Examples for Developing Simulation Algorithms. Karl Freed - Renormalization Group Theory of Macromolecules. For semiflexible polymers see papers by Roland G. Winkler, B. J. Cherayil. I hope that helps you in your future endeavors.

This book consists of two strongly interweaved parts: the mathematical theory of stochastic processes and its applications to molecular theories of polymeric fluids. The comprehensive mathematical background provided in the first section will be equally useful in many other branches of engineering and the natural sciences. The second part provides readers with a more direct understanding of polymer dynamics, allowing them to identify exactly solvable models more easily, and to develop efficient computer simulation algorithms in a straightforward manner. In view of the examples and applications to problems taken from the front line of science, this volume may be used both as a basic textbook or as a reference book. Program examples written in FORTRAN are available via ftp from ftp.springer.de/pub/chemistry/polysim/.