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AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

Traditional geothermal systems face persistent challenges, including low output temperatures and strict location dependence, limiting broader renewable-energy ...

"Over the past 40 years, the field of microeconomics has gone through a revolution in real-world applications, yet the ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Abstract: This work presents an estimator-based distributed preset-time algorithm that effectively addresses the equality-constrained optimization problem on directed graphs (digraphs). Initially, we ...

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 ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...

Abstract: Despite the recent development of distributed constrained optimization algorithms in the literature, it is still a challenging issue to construct distributed algorithms to efficiently solve ...