Kahan summation: Difference between revisions
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=={{header|Julia}}== |
=={{header|Julia}}== |
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Julia can use its BigFloat data type to avoid floating point epsilon errors, as shown below. |
Julia can use its BigFloat data type to avoid floating point epsilon errors, as shown below. |
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<lang julia>epsilon() = begin eps = 1.0; while 1.0 + eps != 1.0 |
<lang julia>epsilon() = begin eps = 1.0; while 1.0 + eps != 1.0 eps /= 2.0 end; eps end |
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function kahansum(arr) |
function kahansum(arr) |
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BigFloat sum is 1.0 |
BigFloat sum is 1.0 |
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</pre> |
</pre> |
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=={{header|Kotlin}}== |
=={{header|Kotlin}}== |
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