https://github.com/SciML/RecursiveArrayTools.jl

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
https://github.com/SciML/RecursiveArrayTools.jl

array recursion scientific-machine-learning sciml vector

Last synced: 4 months ago
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Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

• Host: GitHub
• URL: https://github.com/SciML/RecursiveArrayTools.jl
• Owner: SciML
• License: other
• Created: 2016-10-30T19:00:21.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T00:45:20.000Z (9 months ago)
• Last Synced: 2024-10-29T18:40:13.261Z (9 months ago)
• Topics: array, recursion, scientific-machine-learning, sciml, vector
• Language: Julia
• Homepage: https://docs.sciml.ai/RecursiveArrayTools/stable/
• Size: 3.1 MB
• Stars: 212
• Watchers: 10
• Forks: 58
• Open Issues: 28
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Citation: CITATION.bib

Awesome Lists containing this project

• awesome-sciml - SciML/RecursiveArrayTools.jl: Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

README

        
# RecursiveArrayTools.jl

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RecursiveArrayTools.jl is a set of tools for dealing with recursive arrays like

arrays of arrays.

## Tutorials and Documentation

For information on using the package,

[see the stable documentation](https://docs.sciml.ai/RecursiveArrayTools/stable/). Use the

[in-development documentation](https://docs.sciml.ai/RecursiveArrayTools/dev/) for the version of

the documentation, which contains the unreleased features.

## Example

```julia

using RecursiveArrayTools

a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

b = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

vA = VectorOfArray(a)

vB = VectorOfArray(b)

vA .* vB # Now all standard array stuff works!

a = (rand(5), rand(5))

b = (rand(5), rand(5))

pA = ArrayPartition(a)

pB = ArrayPartition(b)

pA .* pB # Now all standard array stuff works!

```