TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. On the decomposition of generalized semiautomata
 
Options

On the decomposition of generalized semiautomata

Citation Link: https://doi.org/10.15480/882.3078
Publikationstyp
Preprint
Date Issued
2020-04-19
Sprache
English
Author(s)
Cakir, Merve Nur 
Zimmermann, Karl-Heinz  
Institut
Eingebettete Systeme E-13  
TORE-DOI
10.15480/882.3078
TORE-URI
http://hdl.handle.net/11420/7859
Citation
arXiv: 2004.08805 (2020)
ArXiv ID
2004.08805v1
Semi-automata are abstractions of electronic devices that are deterministic finite-state machines having inputs but no outputs. Generalized semiautomata are obtained from stochastic semiautomata by dropping the restrictions imposed by probability. It is well-known that each stochastic semiautomaton can be decomposed into a sequential product of a dependent source and a deterministic semiautomaton making partly use of the celebrated theorem of Birkhoff-von Neumann. It will be shown that each generalized semiautomaton can be partitioned into a sequential product of a generalized dependent source and a deterministic semiautomaton.
Subjects
Semiautomaton
Birkhoffvon Neumann
Computer Science - Discrete Mathematics
DDC Class
004: Informatik
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Loading...
Thumbnail Image
Name

decomposition.pdf

Size

125.84 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback