Compared to the previous approach of, our algorithm improves the complexity from an exponential dependence on T to a nearly quadratic dependence, under the condition R < 1.

These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently [2].

The field of advice complexity investigates how the supplementation of limited, precomputed information (advice) can improve the performance of online algorithms.

Mozilla’s report speculates that this is because the platform prioritizes watch time over user satisfaction, a metric YouTube’s recommendation algorithm didn’t even consider for the first 10 ...

Computer Scientists Discover Limits of Major Research Algorithm The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult ...