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Implement std.math.{atan[2],tan,exp[2],expm1} for single- and double-precision #6272

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Merged
dlang-bot merged 12 commits into from
Aug 16, 2018
Merged

Implement std.math.{atan[2],tan,exp[2],expm1} for single- and double-precision #6272

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ef21892
Implement std.math.atan() for single- and double-precision
kinke Mar 12, 2018
83e0a95
Implement std.math.atan2() for single- and double-precision
kinke Mar 13, 2018
d3f5005
Implement std.math.tan() for single- and double-precision
kinke Mar 13, 2018
d17cda4
Implement std.math.exp() for single- and double-precision
kinke Mar 14, 2018
a08c986
Implement std.math.expm1() for double-precision
kinke Mar 15, 2018
adc30e7
Implement std.math.exp2() for single- and double-precision
kinke Mar 15, 2018
e1d987d
Improve performance of std.math.poly()
kinke Mar 17, 2018
6325462
Avoid ldexp() for static exponents
kinke Mar 17, 2018
0288386
Streamline Cephes implementations for single precision
kinke Mar 22, 2018
21468e7
Forward to (builtin) real version for CTFE in single/double precision…
kinke May 2, 2018
77376fc
Add std.math.expm1(float) overload (using double precision)
kinke May 2, 2018
97a491b
Add changelog entry
kinke May 16, 2018
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15 changes: 15 additions & 0 deletions changelog/math_float_double_implementations.dd
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Single- and double-precision implementations for (a)tan and exp function families

The `float` and `double` overloads of
$(REF atan, std, math), $(REF atan2, std, math), $(REF tan, std, math),
$(REF exp, std, math), $(REF expm1, std, math) and $(REF exp2, std, math)
previously forwarded to the `real` implementation (inline assembly) and
now got proper 'software' implementations in the corresponding precision.

While this may result in a slowdown in some cases for DMD (especially for
`exp()` and `exp2()`), the overall speed-up factor for LDC is > 3, for
both `double` and `float`.

This also implies less precise results, especially in single-precision,
so if your code depended on more accurate results via 80-bit intermediate
precision, you'll have to cast the argument(s) explicitly now.
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