https://github.com/atelierarith/easyeigeninterface.jl
We don't say "Eigen is easy"
Science Score: 26.0%
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Low similarity (3.4%) to scientific vocabulary
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Repository
We don't say "Eigen is easy"
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
EasyEigenInterface.jl
This Julia package wraps some data types in Eigen, a C++ template library for linear algebra such as MatrixXd, VectorXd.
The design is strongly inspired by the work of @barche JuliaCon 2020 workshop on CxxWrap.jl.
Usage
```julia using EasyEigenInterface
x = Float64[1 2 3; 4 5 6] @assert MatrixXd(MatrixXd(x)) == MatrixXd(x) == x
m = MatrixXd(x) @assert rows(m) == 2 @assert cols(m) == 3 jlm = Matrix{Float64}(undef, 2, 3) jlm .= m @assert jlm == m
resize!(m, 3, 2) @assert rows(m) == 3 @assert cols(m) == 2 ```
I believe this may be helpful for those interested in using C++ libraries from Julia.
Owner
- Name: AtelierArith
- Login: AtelierArith
- Kind: organization
- Email: contact@atelier-arith.jp
- Location: Japan
- Twitter: AtelierArith
- Repositories: 8
- Profile: https://github.com/AtelierArith
Enhance "Math meets Art"
GitHub Events
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Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Satoshi Terasaki | t****h@g****m | 6 |
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Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
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- terasakisatoshi (2)