Markus Wallerberger

replacing `expm1` implementation

16

`expm1(x::Double64)` loses all digits of accuracy below `abs(x) < 1e-163` and returns `0.0` instead of `x`. This regresses even beyond Float64, which correctly returns `x`. ``` using DoubleFloats x =...

Long precompilation times

6

`SparseIR` is now super-fast to load. However, it does take quite long to precompile. I don't understand why this should be, since we mostly do bog-standard linear algebra ... or...

Sure of the units in the README plot?

1

Hi, Maybe I miss something trivial here, but are you guys sure of the units in the example in the readme? If I remember my quantum chemistry correctly, the equilibrium...

Surprising and undocumented `import` handling in `Distributed.@everywhere`

2

Consider the following code: ```julia using Distributed addprocs(1) @everywhere begin # assume MyModule is defined in the path given push!(LOAD_PATH, "/path/to/my/module") import MyModule end ``` This fails with a `LoadError`,...

Currently, the tolerance in the SVD defaults to a small multiple of `approx::AbsDiffEq::default_epsilon()`. See: https://github.com/dimforge/nalgebra/blob/d055f22/src/linalg/svd.rs#L98 The problem is that this parameter is badly and confusingly named (see [approx discussion]): `default_epsilon()`...