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README.md

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@@ -83,6 +83,42 @@ julia> besselk1x(1.0f0)
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# Benchmarks
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```julia
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# Bessels.jl
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julia> @benchmark besselj0(x) setup=(x=100.0*rand())
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BenchmarkTools.Trial: 10000 samples with 999 evaluations.
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Range (min max): 7.465 ns 28.946 ns ┊ GC (min max): 0.00% 0.00%
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Time (median): 25.860 ns ┊ GC (median): 0.00%
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Time (mean ± σ): 24.915 ns ± 4.090 ns ┊ GC (mean ± σ): 0.00% ± 0.00%
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Memory estimate: 0 bytes, allocs estimate: 0.
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# SpecialFunctions.jl
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julia> @benchmark besselj0(x) setup=(x=100.0*rand())
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BenchmarkTools.Trial: 10000 samples with 999 evaluations.
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Range (min max): 9.050 ns 79.412 ns ┊ GC (min max): 0.00% 0.00%
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Time (median): 51.677 ns ┊ GC (median): 0.00%
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Time (mean ± σ): 51.029 ns ± 5.653 ns ┊ GC (mean ± σ): 0.00% ± 0.00%
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Memory estimate: 0 bytes, allocs estimate: 0.
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```
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```julia
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# Bessels.jl
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julia> @benchmark besselk1(x) setup=(x=100.0*rand())
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BenchmarkTools.Trial: 10000 samples with 988 evaluations.
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Range (min max): 47.781 ns 97.672 ns ┊ GC (min max): 0.00% 0.00%
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Time (median): 47.950 ns ┊ GC (median): 0.00%
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Time (mean ± σ): 48.495 ns ± 2.656 ns ┊ GC (mean ± σ): 0.00% ± 0.00%
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Memory estimate: 0 bytes, allocs estimate: 0.
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# SpecialFunctions.jl
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julia> @benchmark besselk(1, x) setup=(x=10.0*rand())
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BenchmarkTools.Trial: 10000 samples with 681 evaluations.
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Range (min max): 184.962 ns 2.122 μs ┊ GC (min max): 0.00% 81.41%
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Time (median): 377.081 ns ┊ GC (median): 0.00%
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Time (mean ± σ): 388.243 ns ± 96.971 ns ┊ GC (mean ± σ): 0.04% ± 0.81%
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Memory estimate: 16 bytes, allocs estimate: 1.
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```
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Comparing the relative speed (`SpecialFunctions.jl / Bessels.jl`) for a vector of values between 0 and 100.
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## Float32

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