Logo

Random Differential Equations in Scientific Computing

Large book cover: Random Differential Equations in Scientific Computing

Random Differential Equations in Scientific Computing
by

Publisher: De Gruyter Open
ISBN/ASIN: 8376560255
Number of pages: 650

Description:
This book is a holistic and self-contained treatment of the analysis and numerics of random differential equations from a problem-centred point of view. An interdisciplinary approach is applied by considering state-of-the-art concepts of both dynamical systems and scientific computing.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Entropy of Compact Group AutomorphismsEntropy of Compact Group Automorphisms
by - University of East Anglia
These notes cover a very short introduction to measure-theoretic and topological entropy, and are aimed at understanding part of Yuzvinskii's formula for the entropy of compact group automorphisms. Based on a course at the Ohio State University.
(9134 views)
Book cover: Substitutions in Dynamics, Arithmetics, and CombinatoricsSubstitutions in Dynamics, Arithmetics, and Combinatorics
by - Springer
A certain category of infinite strings of letters on a finite alphabet is presented here, chosen among the 'simplest' possible one may build, both because they are very deterministic and because they are built by simple rules.
(10709 views)
Book cover: Dynamical SystemsDynamical Systems
by - MDPI AG
Complex systems are studied in many areas of natural sciences, social sciences, engineering and mathematics. This volume intends to contribute towards the dissemination of the multifaceted concepts in accepted use by the scientific community.
(6727 views)
Book cover: Optimization and Dynamical SystemsOptimization and Dynamical Systems
by - Springer
Aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory.
(14338 views)