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RandomizedSparsification.jl is a Julia package implementing the randomized element-wise matrix sparsification algorithm from Kundu and Drineas (2014). It efficiently sparsifies matrices by sampling elements according to a probability distribution based on their Frobenius and 1-norms, enabling faster computations on large-scale data.

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RandomizedSparsification.jl

A Julia package implementing the randomized element-wise matrix sparsification algorithm from Kundu and Drineas (2014).

The main function sparsify(A; r) sparsifies a matrix A by sampling r elements according to a probability distribution based on the matrix's Frobenius and 1-norms.

Stable Dev Build Status Coverage Code Style: Blue ColPrac: Contributor's Guide on Collaborative Practices for Community Packages Aqua made in Czechia

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RandomizedSparsification.jl is a Julia package implementing the randomized element-wise matrix sparsification algorithm from Kundu and Drineas (2014). It efficiently sparsifies matrices by sampling elements according to a probability distribution based on their Frobenius and 1-norms, enabling faster computations on large-scale data.

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