scientific-computing

scipy includes COLAMD as a built-in function (used by SuperLU) but the relevant papers are missing from the documentation.

In particular:

    T. A. Davis, J. R. Gilbert, S. Larimore, E. Ng, Algorithm 836:  COLAMD,
    an approximate column minimum degree ordering algorithm, ACM Trans. on
    Mathematical Software, 30(3), 2004, pp. 377--380.
    https://doi.org/10.1145/1024

See:
gonum/gonum#845 (comment)

Hi,

There are still parts of boost library that are used inside mlpack, more specifically in here

• mlpack/src/mlpack/core/tree/cosine_tree/cosine_tree.hpp boost::heap
• mlpack/src/mlpack/core/data/load_arff.hpp boost::tokenizer
• mlpack/tests/main_tests/emst_test.cpp boost::math::iround()
• mlpack/core/tree/cosine_tree/cosine_tree.cpp boost::m

Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.

This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.

Currently spack does not support the following packages, all of these packages are installed outside of Spack at Cori, we would like to get support for these packages if possible.

• cpmd https://www.lcrc.anl.gov/for-users/software/available-software/cpmd/
• ComputeCPP https://github.com/codeplaysoftware/computecpp-sdk need to confirm link
• ds9 https://sites.google.com/cfa.harvard.

Add #[track_caller] to some panicking methods. Slicing methods seem the most prudent (Index/Mut does not apply, sorry).

Needs benchmarks to investigate impact, preferably holistic benchmarks.

The traits Debug, Clone, and PartialOrd should be derived for all parameter types (verified and unverified) and fitted model types where possible. Additionally, Eq should be derived on all such types that don't use floats.

Also, all of our types should be Send + Sync + Sized + Unpin. To pin down this property we should add tests like:

#[test]
fn autotraits() {
  fn has_aut

We currently have a number of CMake variables related to 3rd party libraries polluting ITK's default CMake variable configuration options, which should be minimal. These should be marked as advanced with CMake's mark_as_advanced command in the ITK module CMake code. Variables include EXPAT_* NIFTI and more.