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Use transform plans instead of factorizations #173

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3 changes: 0 additions & 3 deletions docs/src/index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -52,9 +52,6 @@ ContinuumArrays.MulPlan
ContinuumArrays.PiecewiseBasis
```
```@docs
ContinuumArrays.MappedFactorization
```
```@docs
ContinuumArrays.basis
```
```@docs
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24 changes: 0 additions & 24 deletions src/bases/bases.jl
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Expand Up @@ -248,30 +248,6 @@ _sub_factorize(::Tuple{Any,Any}, (kr,jr), L, dims...; kws...) =
_factorize(::SubBasisLayout, L, dims...; kws...) = _sub_factorize(size(parent(L)), parentindices(L), L, dims...; kws...)


"""
MappedFactorization(F, map)

remaps a factorization to a different domain. That is, if `M` is a `MappedFactorization`
then `M \\ f` is equivalent to `F \\ f[map]`
"""
struct MappedFactorization{T, FAC<:Factorization{T}, MAP} <: Factorization{T}
F::FAC
map::MAP
end

\(a::MappedFactorization, b::AbstractQuasiVector) = a.F \ view(b, a.map)
\(a::MappedFactorization, b::AbstractVector) = a.F \ b
\(a::MappedFactorization, b::AbstractQuasiMatrix) = a.F \ view(b, a.map, :)


function invmap end

function _factorize(::MappedBasisLayout, L, dims...; kws...)
kr, jr = parentindices(L)
P = parent(L)
MappedFactorization(factorize(view(P,:,jr), dims...; kws...), invmap(parentindices(L)[1]))
end

plan_ldiv(A, B::AbstractQuasiVector) = factorize(A)
plan_ldiv(A, B::AbstractQuasiMatrix) = factorize(A, size(B,2))

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