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research#algorithms🔬 ResearchAnalyzed: Jan 4, 2026 06:50

Half-Approximating Maximum Dicut in the Streaming Setting

Published:Dec 28, 2025 00:07
1 min read
ArXiv

Analysis

This article likely presents a research paper on an algorithm for the Maximum Dicut problem. The streaming setting implies the algorithm processes data sequentially with limited memory. The title suggests a focus on approximation, aiming for a solution that is at least half as good as the optimal solution. The source, ArXiv, indicates this is a pre-print or research paper.
Reference

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PermalinkArXiv
Research#algorithms🔬 ResearchAnalyzed: Jan 4, 2026 09:18

Near-optimal streaming approximation for Max-DICUT in sublinear space using two passes

Published:Dec 22, 2025 16:14
1 min read
ArXiv

Analysis

This article likely presents a novel algorithm or technique for approximating the Max-DICUT problem within the constraints of streaming data and limited space. The use of 'near-optimal' suggests the algorithm achieves a good approximation ratio. The 'two passes' constraint implies the algorithm processes the data twice, which is a common approach in streaming algorithms to improve accuracy compared to single-pass methods. The focus on sublinear space indicates an effort to minimize memory usage, making the algorithm suitable for large datasets.

Key Takeaways

    Reference

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    PermalinkArXiv