Abstract: A convex optimization model predicts an output from an input by solving a convex optimization problem. The class of convex optimization models is large, and includes as special cases many ...

Abstract: This article addresses the joint power allocation and channel assignment (JPACA) problem in uplink non-orthogonal multiple access (NOMA) networks, an essential consideration for enhancing ...

For experiment 1 and 2, run "body_fat_main.m". For experiment 3 and 4, run "a_influence_probability.m". We also provide the code in experiment 5, "a_influence_n.m" and "a_influence_d.m", for ...

The development of this collection has a purpose of solving the exercises of the postgraduate course named Advanced Convex Optimization, taught by Professor A. P. Liavas in the Spring Semester of 2021 ...

10-425/10-625: MWF, 2:00 PM - 3:20 PM (Wean Hall 7500) Lectures are on Mondays and Wednesdays. Occasional recitations are on Fridays and will be announced ahead of time. As machine learning grows in ...

ABSTRACT: The positive-definiteness and sparsity are the most important property of high-dimensional precision matrices. To better achieve those property, this paper uses a sparse lasso penalized ...