Releases · JuliaApproximation/ApproxFunBase.jl

Suppress wrong broadcasting over x in broadcasteval() (#88) (@wsshin)
Fix wrong type casting in ProductFun evaluation (#89) (@wsshin)
Specialize literal_pow for Fun (#115) (@jishnub)
Replace getindex(sp,k) with component(sp,k) in CachedOperator (#121) (@mjp98)
Make fun immutable (#136) (@jishnub)
remove unnecessary conversion to Any (#138) (@jishnub)
Simplify union for spaces (#139) (@jishnub)
Export inplace fwd/inv transform functions (#140) (@jishnub)
Test transform using AFOP (#141) (@jishnub)
Inplace polynomial transforms (#142) (@jishnub)
Version bump to v0.6.3 (#143) (@jishnub)
plus for a single Fun (#144) (@jishnub)
coefficient conversion bugfix (#146) (@jishnub)
remove trailing whitespace (#147) (@jishnub)
size for infinite bandwidth plusoperator (#148) (@jishnub)
Try both canonicalspaces in defaultConversion (#149) (@jishnub)
despecialize union, split default_mult (#150) (@jishnub)
improve inference in Fun() (#151) (@jishnub)
improve inference in tolerance in exp (#152) (@jishnub)
import rad2deg/deg2rad from Base (#153) (@jishnub)
don't specialize greater than (#154) (@jishnub)
reduce explicit type-params in specialfuntions (#155) (@jishnub)
implicit type-params in Fun-related functions (#156) (@jishnub)
use libblastrampoline instead of libblas/liblapack (#157) (@jishnub)
Reduce Meta.parse calls (#158) (@jishnub)
Type asesrtions in BandedMatrix conversion (#159) (@jishnub)
Inference in TimesOperator adjoint/transpose (#160) (@jishnub)
assert in conversions (#161) (@jishnub)
revert despecialization of type in zero/one (#162) (@jishnub)
Improved inference in coefficients (#163) (@jishnub)
improved TTFX in multiplication (#164) (@jishnub)
minor reductions in allocation in specialfunctions (#165) (@jishnub)
bugfix in vectorfun arithmetic (#166) (@jishnub)
Remove explicit CI test on v1.8 (#167) (@jishnub)
convert to vector in chop (#168) (@jishnub)
equality of derivatives (#169) (@jishnub)
defaultcoeff for int coeffs (#170) (@jishnub)
derivative for normalized spaces (#171) (@jishnub)
compact show for operators (#172) (@jishnub)
vector indexing for transpose op (#173) (@jishnub)
tests for derivative in normalized spaces (#174) (@jishnub)
remove unnecessary type assertions (#175) (@jishnub)
zero with element instead of eltype in pad (#176) (@jishnub)
test against SingularIntegralEquations.jl (#177) (@jishnub)
multiplication of real and complex Fun (#178) (@jishnub)
add OneHotVector (#179) (@jishnub)
fix nocat (#180) (@jishnub)
store size for plus and times operators (#181) (@jishnub)
copy vector in chop (#182) (@jishnub)
bugfix in ldiv_coefficients (#183) (@jishnub)
Fix similar for RaggedMatrix (#184) (@jishnub)
domain promotion for cached operator (#186) (@jishnub)
Fix indexing for PartialInverseOperator (#188) (@jishnub)
triu/l for negative bandwidths (#189) (@jishnub)
Add badges from Juliahub (#190) (@jishnub)
Bump version to v0.6.19 (#192) (@jishnub)
Fix RowVector methods (#193) (@jishnub)
Improve inference in norm (#194) (@jishnub)
avoid eval in specialfn (#195) (@jishnub)
remove unbound type parameter (#196) (@nsajko)
Use Aqua for project quality checks (#197) (@jishnub)
Update compathelper script (#198) (@jishnub)
include downstream coverage (#199) (@jishnub)
Function barrier in PiecewiseSpace (#200) (@jishnub)
Support euler exponentiation (#201) (@jishnub)
improve inference in literal exponentiation (#202) (@jishnub)
improve inference in space tensor product (#203) (@jishnub)
improve inference in Fun multiplication (#204) (@jishnub)
Re-specialize literal_pow for Fun (#205) (@jishnub)
aggressive constprop in intpow (#206) (@jishnub)
improve type inference in laplacian (#207) (@jishnub)
promote in (::Fun) + (::Number) (#208) (@jishnub)
Constrain eltype in ConstantTimesOperator (#209) (@jishnub)
Improve inference in BlockBandedMatrix conversion (#210) (@jishnub)
Parameterize operators in PlusOperator/TimesOperator (#211) (@jishnub)
Docstrings for maxspace and friends (#212) (@jishnub)
accept tuples in promote range/domain spaces (#213) (@jishnub)
n-d transforms (#215) (@jishnub)
reduce(max instead of maximum (#216) (@jishnub)
fixes to ProductFun (#217) (@jishnub)
Fix multiplication of MultivariateFun (#218) (@jishnub)
Add docstrings to LowRankFun and PartialInverseOperator (#219) (@jishnub)
static splat dispatch in default_Fun (#220) (@jishnub)
move docstrings from ApproxFun (#221) (@jishnub)
Version bump to v0.7.16 (#222) (@jishnub)
Add extra spaces while displaying a TensorSpace (#223) (@jishnub)
All coeffs in fromtensor (#224) (@jishnub)
improve inference in LowRankFun (#225) (@jishnub)
function barrier in SubOperator (#226) (@jishnub)
refactor checkbounds methods (#227) (@jishnub)
aggressive constprop in default_CachedOperator (#228) (@jishnub)
Kronecker operators on BivariateFuns (#229) (@jishnub)
don't overwrite methods (#230) (@jishnub)
expand docstring of lowrankfun (#231) (@jishnub)
avoid casting in transform (#232) (@jishnub)
make lowrankfun immutable (#233) (@jishnub)
remove approx_full specialization (#234) (@jishnub)
move tests to a separate module (#235) (@jishnub)
add subdir package ApproxFunBaseTest (#236) (@jishnub)
add LICENSE [skip ci] (#237) (@jishnub)
backports for v0.5 (#238) (@jishnub)

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