Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Panelists discuss how treatment goals for intermediate-risk myelofibrosis patients focus on achieving meaningful clinical outcomes including relieving symptoms, preventing worsening of anemia, ...

I hope this message finds you well. After reviewing the README, I noticed that the Knapsack Problem has not yet been implemented in C++. I would like to take on this task and contribute the ...

Here we present two novel contributions for achieving quantum advantage in solving difficult optimisation problems, both in theory and foreseeable practice. (1) We introduce the "Quantum Tree ...

Abstract: The knapsack problem a NP-hard problem which plays significant roles in many practical applications. In this paper, a new cognitive behavior optimization algorithm (COA) is used to ...