Research Markets

Stochastic Matching with Polynomial Degree

Nov 2, 2026 Source ↗

Key Insights

We study the stochastic matching problem, where a graph $G$ is known in advance, but each edge survives independently with probability $p$.
The goal is to select a subgraph $H$ of small maximum degree.

Cite this synthesis DOI: 10.48550/arXiv.2611.03367 ↗

Show formatted citation

@misc{ acaciamarkets-research-stochastic-matching-with-polynomial-degree,
  title = { Stochastic Matching with Polynomial Degree },
  author = { Leszek },
  year = { 2026 },
  doi = { 10.48550/arXiv.2611.03367 },
  url = { http://arxiv.org/abs/2611.03367v1 },
  note = {Summarized and classified by AcaciaFund}
}

TY  - GEN
TI  - Stochastic Matching with Polynomial Degree
AU  - Leszek
PY  - 2026
DO  - 10.48550/arXiv.2611.03367
UR  - http://arxiv.org/abs/2611.03367v1
ER  -

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Overview

We study the stochastic matching problem, where a graph $G$ is known in advance, but each edge survives independently with probability $p$. The goal is to select a subgraph $H$ of small maximum degree

Key Topics

Quantitative Modeling: A theme covered by this item within the markets context.

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Article Metadata

Evergreen Synthesized

quantitative-modeling market-microstructure

Market Microstructure

SQI 0.750