Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
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.
QAOA (Quantum Approximate Optimization Algorithm) is a hybrid quantum-classical algorithm developed to solve combinatorial optimization problems, such as financial portfolio problems, routing, trading ...
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 ...
Quantum optimization team: from left to right are Kilian Ender, Clemens Dlaska, Wolfgang Lechner, Rick van Bijnen, Andreas Kruckenhauser and Glen Bigan Mbeng Quantum computers are often discussed as a ...
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