Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
Abstract: As intelligent network services continue to diversify, ensuring efficient and adaptive resource allocation in edge networks has become increasingly critical. Yet the wide functional ...
You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...
Department of Social Psychology, School of Sociology, Nankai University, Tianjin, China Introduction: The COVID-19 pandemic has exacerbated psychological stress among young people, with some survivors ...
Beck, A. (2017) First-Order Methods in Optimization. Society for Industrial and Applied Mathematics.
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 ...
Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
Forbes contributors publish independent expert analyses and insights. Kiri Masters covers trends in retail media and marketplaces. While generative AI has dominated headlines with flashy consumer ...
Rob De La Espriella is the creator of BlueDragon, a problem-solving system used by the US national laboratories and nuclear facilities. United States businesses are silently hemorrhaging trillions of ...
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