Abstract: We present a novel extension to the game of FlipIt, introducing infrastructure costs and their impact on the at-tacker's success rate. This extension results in a simultaneous, continuous, ...
Abstract: Traditional exercise recommendation algorithms generate exercise groups according to the features of exercises for all students. However, as different students may have different knowledge ...
UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...
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