Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

The quest to approximate irrational numbers with fractions reveals hidden patterns, surprising hierarchies and enduring mathematical mysteries ...

Abstract: Frequent pattern mining is the process of extracting interesting and recurring patterns within a dataset that occur frequently. In this paper, an attempt is made to develop an algorithm for ...