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Julia package for function approximation

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I expected this to work: ``` julia> using LinearAlgebra, ApproxFun julia> dot(Fun(), Fun()) ERROR: StackOverflowError: Stacktrace: [1] dot(::Function, ::Function) at /Users/osx/buildbot/slave/package_osx64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/generic.jl:665 (repeats 32733 times) [2] top-level scope at none:0 ```

From gitter: ``` julia> I = Interval(0,1); x = Fun(identity, I); ∂ = Derivative(I); julia> ∂ * Multiplication(x) ERROR: AssertionError: spacescompatible(domainspace(ops[k]), rangespace(ops[k + 1])) Stacktrace: [1] TimesOperator{Float64,Tuple{ApproxFun.Infinity{Bool},ApproxFun.Infinity{Bool}}}(::Array{Operator{Float64},1}, ::Tuple{ApproxFun.Infinity{Bool},ApproxFun.Infinity{Bool}}) at /Users/kirill/.julia/packages/ApproxFun/wFAIT/src/Operators/general/algebra.jl:237...

Hi, Here is an issue regarding the composition of two functions. ```julia d = Interval(-0.5,0.5)^2 sol = Fun((x,y)->0,d) ``` Then computing `exp(sol)` gives: ```julia julia> exp.(sol) ERROR: MethodError: no method...

Hey there, AFAICT `Derivative(Fourier(0..2π),1)` does not do what it is meant to do ``` julia > Derivative(Fourier(0..2π),1) DerivativeWrapper:Fourier(【0.0,6.283185307179586❫)→SinSpace(【0.0,6.283185307179586❫)⊕CosSpace(【0.0,6.283185307179586❫) 0.0 0.0 -1.0 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 0.0...

On julia v1.0 and ApproxFun v0.9.0 ``` julia> Taylor(0..1) ERROR: MethodError: no method matching Hardy{true,D,R} where R where D

I can make a Fun with tanh(10sin(12x)) but with tanh(11sin(12x)) makes a Fun with strange domain and only 3 coefficients, all of which are zero. ``` julia (v1.1)> x =...

Take http://juliaapproximation.github.io/ApproxFun.jl/latest/usage/equations.html#Boundary-conditions-1 and http://juliaapproximation.github.io/ApproxFun.jl/latest/usage/equations.html#Systems-of-equations-1 for example. Currently the DSL for functions, operators, etc. is amazingly clear. The only wart I see is the need for the the `Evaluation` either on...