Mercurial > repos > public > sbplib_julia
diff test/SbpOperators/volumeops/derivatives/second_derivative_test.jl @ 875:067a322e4f73 laplace_benchmarks
Merge with feature/laplace_opset
author | Vidar Stiernström <vidar.stiernstrom@it.uu.se> |
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date | Thu, 27 Jan 2022 10:55:08 +0100 |
parents | d2f4ac2be47f |
children | 2ae62dbaf839 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test/SbpOperators/volumeops/derivatives/second_derivative_test.jl Thu Jan 27 10:55:08 2022 +0100 @@ -0,0 +1,118 @@ +using Test + +using Sbplib.SbpOperators +using Sbplib.Grids +using Sbplib.LazyTensors + +import Sbplib.SbpOperators.VolumeOperator + +@testset "SecondDerivative" begin + stencil_set = read_stencil_set(sbp_operators_path()*"standard_diagonal.toml"; order=4) + inner_stencil = parse_stencil(stencil_set["D2"]["inner_stencil"]) + closure_stencils = parse_stencil.(stencil_set["D2"]["closure_stencils"]) + Lx = 3.5 + Ly = 3. + g_1D = EquidistantGrid(121, 0.0, Lx) + g_2D = EquidistantGrid((121,123), (0.0, 0.0), (Lx, Ly)) + + @testset "Constructors" begin + @testset "1D" begin + Dₓₓ = second_derivative(g_1D,inner_stencil,closure_stencils) + @test Dₓₓ == second_derivative(g_1D,inner_stencil,closure_stencils,1) + @test Dₓₓ isa VolumeOperator + end + @testset "2D" begin + Dₓₓ = second_derivative(g_2D,inner_stencil,closure_stencils,1) + D2 = second_derivative(g_1D,inner_stencil,closure_stencils) + I = IdentityMapping{Float64}(size(g_2D)[2]) + @test Dₓₓ == D2⊗I + @test Dₓₓ isa TensorMapping{T,2,2} where T + end + end + + # Exact differentiation is measured point-wise. In other cases + # the error is measured in the l2-norm. + @testset "Accuracy" begin + @testset "1D" begin + l2(v) = sqrt(spacing(g_1D)[1]*sum(v.^2)); + monomials = () + maxOrder = 4; + for i = 0:maxOrder-1 + f_i(x) = 1/factorial(i)*x^i + monomials = (monomials...,evalOn(g_1D,f_i)) + end + v = evalOn(g_1D,x -> sin(x)) + vₓₓ = evalOn(g_1D,x -> -sin(x)) + + # 2nd order interior stencil, 1nd order boundary stencil, + # implies that L*v should be exact for monomials up to order 2. + @testset "2nd order" begin + stencil_set = read_stencil_set(sbp_operators_path()*"standard_diagonal.toml"; order=2) + inner_stencil = parse_stencil(stencil_set["D2"]["inner_stencil"]) + closure_stencils = parse_stencil.(stencil_set["D2"]["closure_stencils"]) + Dₓₓ = second_derivative(g_1D,inner_stencil,closure_stencils) + @test Dₓₓ*monomials[1] ≈ zeros(Float64,size(g_1D)...) atol = 5e-10 + @test Dₓₓ*monomials[2] ≈ zeros(Float64,size(g_1D)...) atol = 5e-10 + @test Dₓₓ*monomials[3] ≈ monomials[1] atol = 5e-10 + @test Dₓₓ*v ≈ vₓₓ rtol = 5e-2 norm = l2 + end + + # 4th order interior stencil, 2nd order boundary stencil, + # implies that L*v should be exact for monomials up to order 3. + @testset "4th order" begin + stencil_set = read_stencil_set(sbp_operators_path()*"standard_diagonal.toml"; order=4) + inner_stencil = parse_stencil(stencil_set["D2"]["inner_stencil"]) + closure_stencils = parse_stencil.(stencil_set["D2"]["closure_stencils"]) + Dₓₓ = second_derivative(g_1D,inner_stencil,closure_stencils) + # NOTE: high tolerances for checking the "exact" differentiation + # due to accumulation of round-off errors/cancellation errors? + @test Dₓₓ*monomials[1] ≈ zeros(Float64,size(g_1D)...) atol = 5e-10 + @test Dₓₓ*monomials[2] ≈ zeros(Float64,size(g_1D)...) atol = 5e-10 + @test Dₓₓ*monomials[3] ≈ monomials[1] atol = 5e-10 + @test Dₓₓ*monomials[4] ≈ monomials[2] atol = 5e-10 + @test Dₓₓ*v ≈ vₓₓ rtol = 5e-4 norm = l2 + end + end + + @testset "2D" begin + l2(v) = sqrt(prod(spacing(g_2D))*sum(v.^2)); + binomials = () + maxOrder = 4; + for i = 0:maxOrder-1 + f_i(x,y) = 1/factorial(i)*y^i + x^i + binomials = (binomials...,evalOn(g_2D,f_i)) + end + v = evalOn(g_2D, (x,y) -> sin(x)+cos(y)) + v_yy = evalOn(g_2D,(x,y) -> -cos(y)) + + # 2nd order interior stencil, 1st order boundary stencil, + # implies that L*v should be exact for binomials up to order 2. + @testset "2nd order" begin + stencil_set = read_stencil_set(sbp_operators_path()*"standard_diagonal.toml"; order=2) + inner_stencil = parse_stencil(stencil_set["D2"]["inner_stencil"]) + closure_stencils = parse_stencil.(stencil_set["D2"]["closure_stencils"]) + Dyy = second_derivative(g_2D,inner_stencil,closure_stencils,2) + @test Dyy*binomials[1] ≈ zeros(Float64,size(g_2D)...) atol = 5e-9 + @test Dyy*binomials[2] ≈ zeros(Float64,size(g_2D)...) atol = 5e-9 + @test Dyy*binomials[3] ≈ evalOn(g_2D,(x,y)->1.) atol = 5e-9 + @test Dyy*v ≈ v_yy rtol = 5e-2 norm = l2 + end + + # 4th order interior stencil, 2nd order boundary stencil, + # implies that L*v should be exact for binomials up to order 3. + @testset "4th order" begin + stencil_set = read_stencil_set(sbp_operators_path()*"standard_diagonal.toml"; order=4) + inner_stencil = parse_stencil(stencil_set["D2"]["inner_stencil"]) + closure_stencils = parse_stencil.(stencil_set["D2"]["closure_stencils"]) + Dyy = second_derivative(g_2D,inner_stencil,closure_stencils,2) + # NOTE: high tolerances for checking the "exact" differentiation + # due to accumulation of round-off errors/cancellation errors? + @test Dyy*binomials[1] ≈ zeros(Float64,size(g_2D)...) atol = 5e-9 + @test Dyy*binomials[2] ≈ zeros(Float64,size(g_2D)...) atol = 5e-9 + @test Dyy*binomials[3] ≈ evalOn(g_2D,(x,y)->1.) atol = 5e-9 + @test Dyy*binomials[4] ≈ evalOn(g_2D,(x,y)->y) atol = 5e-9 + @test Dyy*v ≈ v_yy rtol = 5e-4 norm = l2 + end + end + end +end