Almost-sure asymptotic for the number of heaps inside a random sequence
Anne-Laure Basdevant (MODAL'X), Arvind Singh (LM-Orsay)

TL;DR
This paper proves that the minimum number of heaps needed to sort a random sequence converges almost surely and in L1, refining previous logarithmic growth results.
Contribution
It establishes almost-sure and L1 convergence for the number of heaps, improving upon prior expected value results.
Findings
Number of heaps grows logarithmically on average
Almost-sure convergence of heap count
L1 convergence of heap count
Abstract
We study the minimum number of heaps required to sort a random sequence using a generalization of Istrate and Bonchis's algorithm (2015). In a previous paper, the authors proved that the expected number of heaps grows logarithmically. In this note, we improve on the previous result by establishing the almost-sure and L 1 convergence.
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Taxonomy
TopicsOptimization and Search Problems · Stochastic processes and statistical mechanics · Algorithms and Data Compression
