Abstract: This article proposes a distributed algorithm for a network of agents to solve an optimization problem with separable objective function and locally coupled constraints. Our strategy is ...

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 ...

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 ...

Xiaomi’s MIUI operating system has a lot of interesting features and tools, but some of them are a bit mysterious. One example is MIUI Optimization, which has an uncertain impact but has been reported ...

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 ...

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 ...

If you see 100% or high CPU, GPU or Disk usage by the .NET Runtime Optimization Service (mscorsvw.exe) on your Windows 11/10 PC, then this guide will help you fix the problem. Why is .NET Runtime ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.