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pypi.org : protes
Method PROTES (PRobabilistic Optimizer with TEnsor Sampling) for derivative-free optimization of the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format
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Source
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- JSON
purl: pkg:pypi/protes
Keywords: Derivative-free, optimization, gradient-free, method, multidimensional, low-rank, representation, tensor, train, format, discrete-optimization, gradient-free-optimization, multidimensional-arrays, tensor-decomposition, tensor-train
License: MIT
Latest release: 9 days ago
First release: over 1 year ago
Dependent packages: 1
Dependent repositories: 1
Downloads: 289 last month
Stars: 23 on GitHub
Forks: 2 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 8 days ago