v0.7.23

ApproxFunBase v0.7.23

Diff since v0.7.22

Merged pull requests:

• add subdir package ApproxFunBaseTest (#236) (@jishnub)
• add LICENSE [skip ci] (#237) (@jishnub)
• backports for v0.5 (#238) (@jishnub)
• Drop support for Julia versions <v1.6 (#239) (@jishnub)
• Version bump to v0.7.23 (#240) (@jishnub)

v0.5.18

ApproxFunBase v0.5.18

Diff since v0.5.17

Closed issues:

• Why is Fun mutable? (#135)
• Multiplication of 2D functions not working properly (#187)

Merged pull requests:

• 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)

v0.7.22

ApproxFunBase v0.7.22

Diff since v0.7.21

Merged pull requests:

• make lowrankfun immutable (#233) (@jishnub)
• remove approx_full specialization (#234) (@jishnub)
• move tests to a separate module (#235) (@jishnub)

v0.7.21

ApproxFunBase v0.7.21

Diff since v0.7.20

Merged pull requests:

• avoid casting in transform (#232) (@jishnub)

v0.7.20

ApproxFunBase v0.7.20

Diff since v0.7.19

Merged pull requests:

• don't overwrite methods (#230) (@jishnub)
• expand docstring of lowrankfun (#231) (@jishnub)

v0.7.19

ApproxFunBase v0.7.19

Diff since v0.7.18

Merged pull requests:

• function barrier in SubOperator (#226) (@jishnub)
• refactor checkbounds methods (#227) (@jishnub)
• aggressive constprop in default_CachedOperator (#228) (@jishnub)
• Kronecker operators on BivariateFuns (#229) (@jishnub)

v0.7.18

ApproxFunBase v0.7.18

Diff since v0.7.17

Merged pull requests:

• improve inference in LowRankFun (#225) (@jishnub)

v0.7.17

ApproxFunBase v0.7.17

Diff since v0.7.16

Merged pull requests:

• Add extra spaces while displaying a TensorSpace (#223) (@jishnub)
• All coeffs in fromtensor (#224) (@jishnub)

v0.7.16

ApproxFunBase v0.7.16

Diff since v0.7.15

Merged pull requests:

• move docstrings from ApproxFun (#221) (@jishnub)
• Version bump to v0.7.16 (#222) (@jishnub)

v0.7.15

ApproxFunBase v0.7.15

Diff since v0.7.14

Merged pull requests:

• static splat dispatch in default_Fun (#220) (@jishnub)