Added erf(x) Float64 Julia implementation

[AhmedYKadah]

Faster than current wrapper function call (including Float32 function call).
Uses algorithm based on https://github.com/ARM-software/optimized-routines/blob/master/math/erf.c

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 94.35%. Comparing base (f8fd782) to head (6efcec8).

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #491      +/-   ##
==========================================
+ Coverage   94.11%   94.35%   +0.24%     
==========================================
  Files          14       14              
  Lines        2905     3064     +159     
==========================================
+ Hits         2734     2891     +157     
- Misses        171      173       +2     

Flag	Coverage Δ
unittests	94.35% <100.00%> (+0.24%)	⬆️

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[AhmedYKadah]

Old:
Float 64
@benchmark SpecialFunctions.erf(data) setup=(data=6*rand(Float64)-3) samples=1000000

BenchmarkTools.Trial: 217729 samples with 1000 evaluations per sample.
Range (min … max): 6.300 ns … 283.700 ns ┊ GC (min … max): 0.00% … 0.00%
Time (median): 29.500 ns ┊ GC (median): 0.00%
Time (mean ± σ): 21.993 ns ± 13.209 ns ┊ GC (mean ± σ): 0.00% ± 0.00%

Float32
@benchmark SpecialFunctions.erf(data) setup=(data=6*rand(Float32)-3) samples=1000000

BenchmarkTools.Trial: 312732 samples with 1000 evaluations per sample.
Range (min … max): 4.300 ns … 125.100 ns ┊ GC (min … max): 0.00% … 0.00%
Time (median): 19.900 ns ┊ GC (median): 0.00%
Time (mean ± σ): 15.035 ns ± 7.951 ns ┊ GC (mean ± σ): 0.00% ± 0.00%

New:
Float64
@benchmark erf(data) setup=(data=6*rand(Float64)-3) samples=1000000

BenchmarkTools.Trial: 507504 samples with 1000 evaluations per sample.
Range (min … max): 5.400 ns … 4.890 μs ┊ GC (min … max): 0.00% … 0.00%
Time (median): 8.700 ns ┊ GC (median): 0.00%
Time (mean ± σ): 8.775 ns ± 9.855 ns ┊ GC (mean ± σ): 0.00% ± 0.00%

Float32
@benchmark Float32(erf(data)) setup=(data=6*rand(Float64)-3) samples=1000000

BenchmarkTools.Trial: 526797 samples with 1000 evaluations per sample.
Range (min … max): 5.400 ns … 195.500 ns ┊ GC (min … max): 0.00% … 0.00%
Time (median): 8.800 ns ┊ GC (median): 0.00%
Time (mean ± σ): 8.521 ns ± 2.236 ns ┊ GC (mean ± σ): 0.00% ± 0.00%

[AhmedYKadah]

Float32 implementation available, but not faster than Float64 version due to a exp() call.
Float64 version still faster than old Float32.