CORDIS Project
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This project develops a comprehensive framework for analyzing and managing multiple sources of inexactness in matrix computations. By understanding how these errors interact, the project aims to create new algorithms that optimize performance while maintaining accuracy, particularly for applications in data science and…
Scientific computing inherently involves multiple sources of inexactness, from discretization or simplification of the problem, to noisy data, to finite precision rounding errors, to approximations made to increase parallelism, to stopping computations intentionally to improve efficiency.
The standard state-of-the-art approach is to analyze different sources of error separately.
There is currently no solid foundation or systematic approach for combining multiple sources of inexactness together a…
UNIVERZITA KARLOVA
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