A new technical paper titled “DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design” was published by researchers at Intel Corporation, ...
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
1 State Grid Nanjing Power Supply Company, Information and Communication Branch, Nanjing, China 2 School of Electrical Engineering, Southeast University, Nanjing, China This article presents a study ...
Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...
Abstract: We study strongly convex distributed optimization problems where a set of agents are interested in solving a separable optimization problem collaboratively. In this article, we propose and ...
ABSTRACT: In this paper, our focus lies on addressing a two-block linearly constrained nonseparable nonconvex optimization problem with coupling terms. The most classical algorithm, the alternating ...
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM. This repository includes the codes for the paper: SAPA:Sparse Affine Projection Algorithm in ADMM-LP ...
Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...
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