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update docs and add news
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NEWS.md

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@@ -12,7 +12,8 @@ For bug fixes, performance enhancements, or fixes to unexported functions we wil
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### Added
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- Add more optimized methods for Float32 calculations that are faster ([PR #43](https://github.com/JuliaMath/Bessels.jl/pull/43))
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- Add methods for computing modified spherical bessel function of second ([PR #46](https://github.com/JuliaMath/Bessels.jl/pull/46) and ([PR #47](https://github.com/JuliaMath/Bessels.jl/pull/47))) currently unexported closes ([Issue #25](https://github.com/JuliaMath/Bessels.jl/issues/25))
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- Add methods for computing modified spherical bessel function of second ([PR #46](https://github.com/JuliaMath/Bessels.jl/pull/46) contributed by @cgeoga and first ([PR #47](https://github.com/JuliaMath/Bessels.jl/pull/47))) kind. These functions are currently not exported. Closes ([Issue #25](https://github.com/JuliaMath/Bessels.jl/issues/25))
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- Asymptotic expansion for x >> nu was added ([PR #48](https://github.com/JuliaMath/Bessels.jl/pull/48)) that decreases computation time for large arguments. Contributed by @cgeoga
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### Fixed
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- Reduce compile time and time to first call of besselj and bessely ([PR #42](https://github.com/JuliaMath/Bessels.jl/pull/42))

src/besselk.jl

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#
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# The identities are computed by calling the `besseli_positive_args(nu, x)` function which computes K_{ν}(x)
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# for positive arguments and orders. For large orders, Debye's uniform asymptotic expansions are used.
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# For large arguments x >> nu, large argument expansion is used [9].
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# For small value and when nu > ~x the power series is used. The rest of the values are computed using slightly different methods.
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# The power series for besseli is modified to give both I_{v} and I_{v-1} where the ratio K_{v+1} / K_{v} is computed using continued fractions [8].
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# The wronskian connection formula is then used to compute K_v.
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# arXiv preprint arXiv:2201.00090 (2022).
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# [8] Cuyt, A. A., Petersen, V., Verdonk, B., Waadeland, H., & Jones, W. B. (2008).
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# Handbook of continued fractions for special functions. Springer Science & Business Media.
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# [9] http://dlmf.nist.gov/10.40.E2
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#
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"""

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