Stochastic dynamics, filtering, and optimization:

Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then contin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Roy, Debasish Kumar 1946- (VerfasserIn), G., Visweswara Rao (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2017
Schlagworte:
Online-Zugang:BSB01
FHN01
Volltext
Zusammenfassung:Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then continues to weave into a framework of several practical tools and applications involving stochastic dynamical systems. These include tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB codes for all the applications are uploaded on the companion website
Beschreibung:Title from publisher's bibliographic system (viewed on 12 Feb 2018)
Beschreibung:1 Online-Ressource (xxxvii, 709 Seiten)
DOI:10.1017/9781316863107

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen