ContinuumArray 0.19

Author: dlfivefifty

Project.toml

@@ -1,7 +1,7 @@
 name = "HarmonicOrthogonalPolynomials"
 uuid = "e416a80e-9640-42f3-8df8-80a93ca01ea5"
 authors = ["Sheehan Olver <[email protected]>"]
-version = "0.6.3"
+version = "0.7"
 
 [deps]
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
@@ -20,13 +20,13 @@ StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 [compat]
 BlockArrays = "1.0"
 BlockBandedMatrices = "0.13"
-ClassicalOrthogonalPolynomials = "0.13, 0.14"
-ContinuumArrays = "0.18"
+ClassicalOrthogonalPolynomials = "0.15"
+ContinuumArrays = "0.19"
 DomainSets = "0.7"
 FastTransforms = "0.15, 0.16, 0.17"
 InfiniteArrays = "0.14, 0.15"
 IntervalSets = "0.7"
-QuasiArrays = "0.11"
+QuasiArrays = "0.12"
 SpecialFunctions = "1, 2"
 StaticArrays = "1"
 julia = "1.10"

src/laplace.jl

@@ -1,36 +1,4 @@
-# Laplacian
-
-struct Laplacian{T,D} <: LazyQuasiMatrix{T}
-    axis::Inclusion{T,D}
-end
-
-Laplacian{T}(axis::Inclusion{<:Any,D}) where {T,D} = Laplacian{T,D}(axis)
-# Laplacian{T}(domain) where T = Laplacian{T}(Inclusion(domain))
-# Laplacian(axis) = Laplacian{eltype(axis)}(axis)
-
-axes(D::Laplacian) = (D.axis, D.axis)
-==(a::Laplacian, b::Laplacian) = a.axis == b.axis
-copy(D::Laplacian) = Laplacian(copy(D.axis))
-
-@simplify function *(Δ::Laplacian, P::AbstractSphericalHarmonic)
+function laplacian(P::AbstractSphericalHarmonic; dims...)
      # Spherical harmonics are the eigenfunctions of the Laplace operator on the unit sphere
      P * Diagonal(mortar(Fill.((-(0:∞)-(0:∞).^2), 1:2:∞)))
 end
-
-# Negative fractional Laplacian (-Δ)^α or equiv. abs(Δ)^α
-
-struct AbsLaplacianPower{T,D,A} <: LazyQuasiMatrix{T}
-    axis::Inclusion{T,D}
-    α::A
-end
-
-AbsLaplacianPower{T}(axis::Inclusion{<:Any,D},α) where {T,D} = AbsLaplacianPower{T,D,typeof(α)}(axis,α)
-
-axes(D:: AbsLaplacianPower) = (D.axis, D.axis)
-==(a:: AbsLaplacianPower, b:: AbsLaplacianPower) = a.axis == b.axis && a.α == b.α
-copy(D:: AbsLaplacianPower) = AbsLaplacianPower(copy(D.axis), D.α)
-
-abs(Δ::Laplacian) = AbsLaplacianPower(axes(Δ,1),1)
--(Δ::Laplacian) = abs(Δ)
-
-^(D::AbsLaplacianPower, k) = AbsLaplacianPower(D.axis, D.α*k)

src/multivariateops.jl

@@ -1,24 +1,3 @@
-
-#########
-# PartialDerivative{k}
-# takes a partial derivative in the k-th index.
-#########
-
-
-struct PartialDerivative{k,T,Ax<:Inclusion} <: LazyQuasiMatrix{T}
-    axis::Ax
-end
-
-PartialDerivative{k,T}(axis::Inclusion) where {k,T} = PartialDerivative{k,T,typeof(axis)}(axis)
-PartialDerivative{k,T}(domain) where {k,T} = PartialDerivative{k,T}(Inclusion(domain))
-PartialDerivative{k}(axis) where k = PartialDerivative{k,eltype(eltype(axis))}(axis)
-
-axes(D::PartialDerivative) = (D.axis, D.axis)
-==(a::PartialDerivative{k}, b::PartialDerivative{k}) where k = a.axis == b.axis
-copy(D::PartialDerivative{k}) where k = PartialDerivative{k}(copy(D.axis))
-
-^(D::PartialDerivative, k::Integer) = ApplyQuasiArray(^, D, k)
-
 abstract type MultivariateOrthogonalPolynomial{d,T} <: Basis{T} end
 const BivariateOrthogonalPolynomial{T} = MultivariateOrthogonalPolynomial{2,T}