ApproxFun.jl

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Implement `sum` for LogWeight

6

I'd like to be able to do the following: ``` julia x=Fun() sum(log(abs(x-0.1))) ``` partly to check SingularIntegralEquation's logkernel.

dlfivefifty

Array concatenations produce unexpected results

1

The following illustrates the issue: ``` julia> f = Fun(Fourier(), [1,2,3,4]) Fun(Fourier(【0.0,6.283185307179586❫), [1, 2, 3, 4]) julia> g = Fun(Fourier(), [1,0,0,4]) Fun(Fourier(【0.0,6.283185307179586❫), [1, 0, 0, 4]) julia> Af = [f...

andreasvarga

Bump actions/checkout from 3 to 4

1

Bumps [actions/checkout](https://github.com/actions/checkout) from 3 to 4. Release notes Sourced from actions/checkout's releases. v4.0.0 What's Changed Update default runtime to node20 by @​takost in actions/checkout#1436 Support fetching without the --progress option...

dependabot[bot]

Hi, I have a function $u\in C([0,1],\mathbb R^3)$ which is described by a `Vector{Fun{Chebyshev{IntervalSets.ClosedInterval{Int64}, Float64}, Float64, Vector{Float64}}}`. How can I described the linear form `v -> int ` ?

rveltz

For a `Fun` with roots in its domain, division fails with the error message: ``` ERROR: MethodError: no method matching setdomain(::PiecewiseSpace{Tuple{Chebyshev{ChebyshevInterval{Float64}, Float64}, JacobiWeight{Chebyshev{IntervalSets.ClosedInterval{Float64}, Float64}, IntervalSets.ClosedInterval{Float64}, Float64, Int64}, JacobiWeight{Chebyshev{IntervalSets.ClosedInterval{Float64}, Float64}, IntervalSets.ClosedInterval{Float64},...

LucasAschenbach

Because of rounding (I assume), when calculating roots we do not recover, say, the domain endpoint but something very close, ie 0.9999999999999994 instead of 1.0. If we try to take...

macd

Newton for simple PDE gives NaN result

1

This simple test gives a NaN result: using ApproxFun xdom = Chebyshev(-1..1) x = Fun(identity, xdom) N(u, v) = [u - x; v + x] u0 = 0*x v0 =...

dstahlke

Test case (requires also https://github.com/JuliaApproximation/ApproxFunBase.jl/pull/479): using ApproxFun xdom = Chebyshev(-1..1) ydom = Chebyshev(-1..1) domain = xdom * ydom x,y = Fun(identity, domain) Dx = Derivative(Chebyshev()^2, [1,0]) Dy = Derivative(Chebyshev()^2, [0,1])...

dstahlke

concrete list of exports

1

jishnub

Tag v1, write JOSS paper?

1

@jishnub I've started tagging v1 for a bunch of packages. ApproxFun hasn't had a breaking version in almost 2 years, maybe its time to tag v1.0? We could also write...

dlfivefifty