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scientific-computing

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shrit
shrit commented Nov 16, 2021

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
arrayfire
jansende
jansende commented Feb 18, 2022

I was looking at the source code and noticed that some of the variable names contain double underscores __. The C++ standard says the following about this.

Each identifier that contains a double underscore __ or begins with an underscore followed by an uppercase letter is reserved to the implementation for any use.

This means, that depending on the C++ implementation used, undefined beha

shahzebsiddiqui
shahzebsiddiqui commented Jun 22, 2020

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.

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

  • Updated Feb 19, 2022
  • TypeScript

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

  • Updated Jan 27, 2022
  • Go
YuhanLiin
YuhanLiin commented Jan 19, 2022

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

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

  • Updated Feb 18, 2022
  • C++

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