The project contains some example use cases, including a resource assignment problem aimed at the assignment of electric vehicle recharging stations distributed in different city blocks with several ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: The first linear programming bound is the best known asymptotic upper bound for binary codes, for a certain subrange of distances. Starting from the work of Friedman and Tillich (2005), ...

This repository contains a Rust implementation of the FLOP causal discovery algorithm, available for use from Python and R. It is a score-based algorithm for learning equivalence classes of DAGs from ...