Record link: 
http://hdl.handle.net/20.500.12708/208567
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Title: 
Polar: An Algebraic Analyzer for (Probabilistic) Loops
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Citation: 
Moosbrugger, M., Müllner, J., Bartocci, E., & Kovacs, L. (2025). Polar: An Algebraic Analyzer for (Probabilistic) Loops. In Principles of Verification: Cycling the Probabilistic Landscape (Vol. 15260, pp. 179–200). https://doi.org/10.1007/978-3-031-75783-9_8
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Publisher DOI: 
10.1007/978-3-031-75783-9_8
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Publication Type: 
Book Contribution - Edited Volume Contribution
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Language: 
English
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Authors: 
Moosbrugger, Marcel 
Müllner, Julian 
Bartocci, Ezio 
Kovacs, Laura 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
E192-04 - Forschungsbereich Formal Methods in Systems Engineering 
E056-10 - Fachbereich SecInt-Secure and Intelligent Human-Centric Digital Technologies 
E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems 
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Published in: 
Principles of Verification: Cycling the Probabilistic Landscape 
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Date (published): 
2025
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Number of Pages: 
22
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Peer reviewed: 
Yes
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Keywords: 
Probabilistic Loops; Invariants Generation; Program Loops; Program Analysis
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Project title: 
Distribution Recovery for Invariant Generation of Probabilistic Programs: ICT19-018 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
Automated Reasoning with Theories and Induction for Software Technologies: ERC Consolidator Grant 2020 (European Commission) 
QuAT: Quantifiers and Arithmetic Theories are Friends with Benefits: ARA 20223 (Amazon Research Awards) 
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch: 
1020 - Informatik: 50%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 40%
1010 - Mathematik: 10%
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Appears in Collections:
Book Contribution

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