Tracking Down Floating Point Corruption

By Mike Deliman

Recently a long-time customer of mine emailed me with a question.
They were having anomalies when computing floating point values.
Specifically, hardware would be read – values would be processed into a
float, and that value was then used as a metric.

Every now and then the metric would be off – it would jump by
several orders of magnitude.  The next computation would be just fine,
though, exactly where it should have been.

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