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Titlebook: Software Verification; 13th International C Roderick Bloem,Rayna Dimitrova,Natasha Sharygina Conference proceedings 2022 Springer Nature Sw

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Case Study: Analysis of Autonomous Center Line Tracking Neural Networksbit building trust in their behavior, which is crucial in safety critical applications such as autonomous driving. Therefore, techniques which aid in understanding and providing guarantees for neural network behavior are the need of the hour. In this paper, we present a case study applying a recentl
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An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numer arithmetic specified by the IEEE754 Standard. In this context, an elementary brick of computation, used everywhere, is the sum of a sequence of numbers. This sum is subject to many numerical errors in floating-point arithmetic. To alleviate this issue, we have introduced a new parallel algorithm fo
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Modeling Round-Off Errors in Hydrodynamic Simulationsith the idea that round-off errors are not significant. However, exascale is pushing back the known limits and the problems of accumulating round-off errors could come back and require increasing further the precision. But working with extended precision, regardless of the method used, has a signifi
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