Tags: JuliaMath/Bessels.jl
Tags
## Bessels v0.2.7 [Diff since v0.2.6](v0.2.6...v0.2.7) **Merged pull requests:** - add Float32 gamma (#65) (@oscardssmith) - improve accuracy of `besselk_power_series` (#66) (@oscardssmith)
## Bessels v0.2.6 [Diff since v0.2.5](v0.2.5...v0.2.6) **Closed issues:** - mutating bessels! for sequence (#59) **Merged pull requests:** - Add mutating sequence (#60) (@heltonmc) - Improve sphericalbesselj inference (#61) (@samuel3008) - minor `gamma` cleanups. (#62) (@oscardssmith) - Small dispatch fix for gamma (#63) (@heltonmc)
## Bessels v0.2.1 [Diff since v0.2.0](v0.2.0...v0.2.1) **Closed issues:** - Half-integer order for `besselk` (#25) - Improving compile time of besselj and bessely (#41) **Merged pull requests:** - Reduce time to first bessely (#42) (@heltonmc) - Take Float32 a little more seriously (#43) (@heltonmc) - Special half-integer branch for `besselk` (#46) (@cgeoga) - Update sphericalbesselk and add sphericalbesseli (#47) (@heltonmc) - Asymptotic expansion for large arg and small-ish order (#48) (@cgeoga) - Create Invalidations.yml (#49) (@ranocha)
## Bessels v0.2.0 [Diff since v0.1.0](v0.1.0...v0.2.0) **Closed issues:** - v0.1.0 Release Roadmap (#1) - Consider using HypergeometricFunctions.jl (#16) - Should we support Spherical bessel functions? (#34) - bessely returns NaN for large integer orders and small arguments (#35) **Merged pull requests:** - Support Hankel functions and efficient methods to get Jv and Yv (#33) (@heltonmc) - Add spherical bessel functions (#38) (@heltonmc) - support for Airy functions (#39) (@heltonmc) - Fix #35 and correct for NaN return for small arguments in bessely (#40) (@heltonmc)
## Bessels v0.1.0 **Closed issues:** - bessely (#2) - Implement solutions for besselj(nu, x) for integer orders (#3) - Poor accuracy for middle orders 2-50 for besseli (#9) - Anything to take from Fortran? (#18) - Could return complex values for real inputs if argument is negative (#30) **Merged pull requests:** - add Float64 benchmark in readme (#4) (@heltonmc) - merge Float32 and Float64 implimentations (#5) (@oscardssmith) - Change besseli0 and besseli1 routines to rational approximation (#6) (@heltonmc) - Faster implementations of Besselk0 and Besselk1 (#7) (@heltonmc) - Asymptotic expansion for large orders. Besselk(nu, x) (#8) (@heltonmc) - Use continued fractions for besseli for medium sized orders 2<nu<100 (#10) (@heltonmc) - benchmark suite (#11) (@heltonmc) - update readme, fix typo (#12) (@oscardssmith) - Better large order approximations for J0,J1, Y0,Y1 (#13) (@heltonmc) - besselj0 and friends for medium arguments (#14) (@heltonmc) - faster besselj0 for x<25 (#15) (@oscardssmith) - Implementation for besselj of any (positive) real order and argument (#20) (@heltonmc) - optimize U-polynomials and output both besselj and bessely for debye expansion (#23) (@heltonmc) - Output both bessely and besselj for large arguments (#24) (@heltonmc) - bessely(nu, x) for positive and negative arguments (#26) (@heltonmc) - Clean up besselj(nu,x) and add docs (#28) (@heltonmc) - Besselj and Besselk for all integer and noninteger postive orders (#29) (@heltonmc) - Update readme (#31) (@heltonmc) - remove complex output for real inputs (#32) (@heltonmc)