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README.md

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BlockTensorFactorization.jl is a package to factorize tensors. The main feature is its flexibility at decomposing input tensors according to many common tensor models (ex. CP, Tucker) with a number of constraints (ex. nonnegative, simplex), while also supporting user-defined models, constraints, and optimization updates.
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This is a registered Julia package and can be installed with
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```
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julia> ] add BlockTensorFactorization
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```
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from the REPL, or
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```
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using Pkg
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Pkg.add("BlockTensorFactorization")
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```
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within Julia.
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# Citation
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If you find this package useful in anyway, please cite this repository with the following information.
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```tex
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@misc{richardson_blocktensorfactorization_2025,
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title = {BlockTensorFactorization.jl v0.3.0},
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title = {BlockTensorFactorization.jl v0.4.0},
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url = {https://github.com/MPF-Optimization-Laboratory/BlockTensorFactorization.jl},
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author = {Richardson, Nicholas and Marusenko, Noah and Friedlander, Michael P.},
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year = {2025},

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