The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...
Abstract: Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted interests ...
1 Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ, Brazil 2 Petróleo Brasileiro S.A., Centro de Pesquisas Leopoldo Miguez de Mello, Rio de Janeiro, Brazil Recent advancements in quantum ...
Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...
Evaluates/Finds the least squared solutions of Ax=b for x with 3 different methods. Uses A and b from the svd-data.csv dataset. A C program that solves systems of linear equations written in a file ...
Buildings.Obsolete.Air.Systems.SingleZone.VAV.Examples.OptimalStart.Guideline36Spring Buildings.Obsolete.Air.Systems.SingleZone.VAV.Examples.OptimalStart ...
Many applications in fluid mechanics require the numerical solution of sequences of linear systems typically issued from finite element discretization of the Navier-Stokes equations. The resulting ...