Among card games, few have earned a reputation as intellectually intriguing as the FreeCell game. Often described as a puzzle disguised as solitaire, it stands apart because nearly every deal is ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

The problem of synthesis of the algorithms for classifying quasi-deterministic signals with random parameters is considered. The need to solve such a problem is associated with the widespread ...

Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...

ABSTRACT: State-of-the-art antenna design and optimization (D/O) is increasingly being done using Global Search and Optimization (GSO) algorithms such as Ant Colony Optimization (ACO), Particle Swarm ...

Abstract: The problem of synthesis of the algorithms for classifying quasi-deterministic signals with random parameters is considered. The need to solve such a problem is associated with the ...

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During the past fifteen years, there has been a tremendous growth of research on randomized (sketching) algorithms for large-scale computations, such as matrix ...

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