Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
A recent Gallup poll asked about employees' use of AI at work. Nearly half said they use it at least a few times a year. There were some big differences between industries. The use of AI tools among ...
ATLANTA — The Buffalo Bills dropped their second straight game in a surprising 24-14 loss on Monday Night Football against the Atlanta Falcons. It was a tale of two halves for the defense. Buffalo ...
Objectives: This study systematically evaluates the effectiveness of combining problem-based learning with the seminar teaching method and the traditional lecture-based learning model in medical ...
Abstract: The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, ...
Department of Earth, Energy, and Environment, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada ...
A Python implementation of a branch-and-bound approach (plus a simple greedy heuristic) to solve a variation of the multiple knapsack problem where items have both individual and pairwise benefits.
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