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Correct answers: who needs them? (a story of numerical computing)

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RNT - Rich and Nonlinear Tomography - a multidisciplinary approach

Numerical computing was motivated by rocket trajectories, andearly algorithm work was marked by a focus on evaluating correctness.These techniques are now used to process nearly every image, sound and measurement from now ubiquitous sensors. Most work integratesnumerous toolkits, many of which are open source. This wide use isaccompanied by reduced focus on correctness. We discuss trendsin validation of algorithms, along with the author’s experience managing an open-source imaging software toolkit (EIDORS.org). Finally,we consider some higher-level issues: correctness vs “move fast andbreak things”.

This talk is part of the Isaac Newton Institute Seminar Series series.

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