Skip to content
#

scientific-computing

Here are 835 public repositories matching this topic...

RolfStierle
RolfStierle commented May 21, 2020

For Shape, there is not getter for the dimension stored inside the structure. There was one, but now it is solely a comment (see below):

impl<D> Shape<D>
where
    D: Dimension,
{
    // Return a reference to the dimension
    //pub fn dimension(&self) -> &D { &self.dim }
    /// Return the size of the shape in number of elements
    pub fn size(&self) -> usize {
        self.

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 22, 2021
  • C

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 9, 2021
  • TypeScript
thewtex
thewtex commented Feb 12, 2021

Description

In ITK's CMake configuration, only a few, commonly changed, high level cache variables should be presented in the CMake GUI.

Steps to Reproduce

Configure ITK with CMake, and use the ncurses or Qt GUI.

Expected behavior

Only the cache variables:

  • BUILD_EXAMPLES
  • BUILD_TESTING
  • ITK_BUILD_DEFAULT_MODULES
  • ITK_WRAP_PYTHON should be present.

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 14, 2021
  • C++
Sauro98
Sauro98 commented Feb 8, 2021

Here is a collection of work that needs to be done regarding documentation and minor issues with the code itself. Picking an item from this list can be a good way to start getting acquainted with the codebase and provide a useful contribution. 😄 👍🏻

In general, I would say that the pages for the individual algorithms in the linfa-clustering and linfa-elasticnet sub-crates can be good referen

Improve this page

Add a description, image, and links to the scientific-computing topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the scientific-computing topic, visit your repo's landing page and select "manage topics."

Learn more