Hochschulschrift
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
- Alternative title
-
Das Demaskieren der Fehlertoleranz - Vom Quantifizieren deterministischer Wiederherstellungsdynamiken in probabilistischen Umgebungen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Oldenburg, Universität Oldenburg, Diss., 2014
- Event
-
Veröffentlichung
- (where)
-
Oldenburg
- (who)
-
BIS der Universität Oldenburg
- (when)
-
2014
- Creator
- Contributor
- URN
-
urn:nbn:de:gbv:715-oops-19320
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:42 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Müllner, Nils Henning
- Theel, Oliver
- Katoen, Joost-Pieter
- BIS der Universität Oldenburg
Time of origin
- 2014
Other Objects (12)
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Dynamic fault trees: semantics, analysis and applications
Concepts, algorithms, and tools for model checking
Dynamic fault tree analysis using binary decision diagrams
Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration
Automatically Finding the Right Probabilities in Bayesian Networks
Sound Value Iteration
Fine-Tuning the Odds in Bayesian Networks
Formal methods for real time and probabilistic systems : proceedings
Multi-objective Optimization of Long-run Average and Total Rewards
Verification of pointer programs
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Dynamic fault trees: semantics, analysis and applications
Concepts, algorithms, and tools for model checking
Dynamic fault tree analysis using binary decision diagrams
Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration
Automatically Finding the Right Probabilities in Bayesian Networks
Sound Value Iteration
Fine-Tuning the Odds in Bayesian Networks
Formal methods for real time and probabilistic systems : proceedings
Multi-objective Optimization of Long-run Average and Total Rewards
Verification of pointer programs
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Unmasking fault tolerance : quantifying deterministic recovery dynamics in probabilistic environments
Dynamic fault trees: semantics, analysis and applications
Concepts, algorithms, and tools for model checking
Dynamic fault tree analysis using binary decision diagrams
Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration
Automatically Finding the Right Probabilities in Bayesian Networks
Sound Value Iteration
Fine-Tuning the Odds in Bayesian Networks
Formal methods for real time and probabilistic systems : proceedings
Multi-objective Optimization of Long-run Average and Total Rewards