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Update tests in docs differentiable_programming.jl #1704

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Nov 5, 2023
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Update tests in docs differentiable_programming.jl #1704

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4 changes: 2 additions & 2 deletions docs/literate/src/files/differentiable_programming.jl
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Expand Up @@ -43,7 +43,7 @@ scatter(real.(λ), imag.(λ), label="central flux")
# As you can see here, the maximal real part is close to zero.

relative_maximum = maximum(real, λ) / maximum(abs, λ)
@test 3.0e-10 < relative_maximum < 8.0e-10 #src
@test 3.0e-10 < relative_maximum < 9.0e-10 #src

# Interestingly, if we add dissipation by switching to the `flux_lax_friedrichs`
# at the interfaces, the maximal real part of the eigenvalues increases.
Expand Down Expand Up @@ -87,7 +87,7 @@ scatter(real.(λ), imag.(λ), label="central flux")
# Here, the maximal real part is basically zero to machine accuracy.

relative_maximum = maximum(real, λ) / maximum(abs, λ)
@test 1.0e-17 < relative_maximum < 1.0e-15 #src
@test 1.0e-17 < relative_maximum < 2.0e-15 #src

# Moreover, the eigenvectors are not as ill-conditioned as in 2D.

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