Releases: JuliaMath/Bessels.jl
Releases · JuliaMath/Bessels.jl
v0.2.8
v0.2.7
Bessels v0.2.7
Merged pull requests:
- add Float32 gamma (#65) (@oscardssmith)
- improve accuracy of
besselk_power_series
(#66) (@oscardssmith)
v0.2.6
Bessels 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)
v0.2.5
Bessels v0.2.5
Closed issues:
- Improve besselj accuracy for large arguments for orders -1, 0, 1 (#56)
Merged pull requests:
v0.2.4
v0.2.3
Bessels v0.2.3
Closed issues:
- Return sequences of Bessel functions for many orders (#52)
Merged pull requests:
v0.2.2
Bessels v0.2.2
Closed issues:
- Improving compile time of besselj and bessely (#41)
Merged pull requests:
- Fix up README.md (#50) (@samuel3008)
- Airy function in entire complex plane (#51) (@heltonmc)
v0.2.1
Bessels v0.2.1
Closed issues:
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)
v0.2.0
v0.1.0
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)