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), ...

Here are the solutions to problem sets of MIT open course 6.0001, "Introduction to Computer Science and Programming in Python." The full course material can be ...