The ApproximateTime algorithm finds, for each group of messages (one from each topic), the set that minimizes the temporal spread. It does this incrementally as messages arrive, without waiting for ...

S. Takahashi and A. Takeda: Approximate Bregman proximal gradient algorithm for relatively smooth nonconvex optimization, Computational Optimization and Applications (2025) 90:227--256. K. Fujiki, S.

Abstract: The k-means clustering is one of the most popular schemes for discovering clusters in data. Its aim is to minimize the mean squared distance from each data to its nearest center. A lot of ...

Abstract: Approximate string matching algorithms, which permit mismatched characters, are extensively employed in software featuring search tools, database management systems, and various applications ...

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A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...