- Abstract:
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Soundness is a major objective for verification tools. Methods that use exact arithmetic or symbolic representations are often prohibitively slow and do not scale past small examples. We propose the use of numerical oating-point computations to improve performance combined with an interval analysis to ensure soundness in reach-set computations for numerical dynamical models. Since the interval analysis cannot provide exact answers we reason about over-approximations of the reachable sets tha...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 389.5kb)
-
- Publisher copy:
- 10.1007/978-3-319-63501-9_4
-
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- Publisher:
- Springer Verlag Publisher's website
- Volume:
- 10381
- Pages:
- 38-60
- Publication date:
- 2017-07-12
- Acceptance date:
- 2017-05-26
- DOI:
- ISSN:
-
0302-9743
- Pubs id:
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pubs:701185
- URN:
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uri:69245401-e33b-4f2a-884e-0b33dee0bed2
- UUID:
-
uuid:69245401-e33b-4f2a-884e-0b33dee0bed2
- Local pid:
- pubs:701185
- ISBN:
- 978-3-319-63501-9
- Copyright holder:
- © Springer International Publishing AG 2017
- Copyright date:
- 2017
- Notes:
-
This is the author accepted manuscript following peer review version of the article. The final version is available online from Springer Verlag at: 10.1007/978-3-319-63501-9_4
This item was presented at NSV 2017: 10th International Workshop on Numerical Software Verification 2017, Heidelberg, Germany, July 22-23, 2017
Conference item
Sound numerical computations in abstract acceleration
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Oxford Instruments PLC
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Alan Turing Institute, London, UK
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