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Data Engineering
Square-Root Pass Semi-Streaming Algorithms for Digraph Problems
Key Insights
- We study directed graph problems in the semi-streaming model where we are restricted to $\widetilde{O}(n):=O(n\cdot \text{polylog}(n))$ space for processing the edge stream of an $n$-node graph and ca.
Cite this synthesis
DOI: 10.48550/arXiv.2611.03594 ↗
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@misc{ acaciadata-research-square-root-pass-semi-streaming-algorithms-for-digraph-probl,
title = { Square-Root Pass Semi-Streaming Algorithms for Digraph Problems },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2611.03594 },
url = { http://arxiv.org/abs/2611.03594v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Square-Root Pass Semi-Streaming Algorithms for Digraph Problems AU - Leszek PY - 2026 DO - 10.48550/arXiv.2611.03594 UR - http://arxiv.org/abs/2611.03594v1 ER -
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Overview
We study directed graph problems in the semi-streaming model where we are restricted to $\widetilde{O}(n):=O(n\cdot \text{polylog}(n))$ space for processing the edge stream of an $n$-node graph and ca
Key Topics
- Stream Processing: A theme covered by this item within the data engineering context.
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This item adds to the data engineering knowledge base. Practitioners can use it to stay current on Square-Root Pass Semi-Streaming Algorithms for Digraph Problems, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
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