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→Incidents: Though the issue did not come from floating point, it is still due to the careless use of approximations: if they had use an exact arithmetic (thus not needing to approximate 0.1) or wrote their code based on an error analysis, this would not have happened. |
Expand section on FPU; add softfloat+hardfloat |
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The speed of floating-point operations, commonly measured in terms of [[FLOPS]], is an important characteristic of a [[computer system]], especially for applications that involve intensive mathematical calculations.
== Overview ==
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