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matching-abandonmet

https://github.com/shuligraph/matching-abandonmet

Science Score: 44.0%

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    Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: shuligraph
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 99.6 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created 12 months ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

MATCHING-ABANDONMENT

Code for the paper:
Performance Paradox in Matching Models with Abandonment
Author: Shu Li

This repository includes:

  • Candidate generator: Find α configurations where merging items increases system congestion.
  • Precise validator: Check exact values of normalization constant π₀ and expected total number of items under truncation control.
  • CSV export: High-precision alphas and metrics for further analysis.

📁 Structure

  • src/generate_candidates.py: Batch Monte Carlo search over α and δ
  • src/validate_single_case.py: Plug α into exact formulas and compute bounds
  • data/results.csv: Output for analysis or visualization

🚀 Requirements

```bash pip install -r requirements.txt

Owner

  • Name: Shu Li
  • Login: shuligraph
  • Kind: user
  • Company: INRIA

(ಡωಡ)

Citation (CITATION.cff) 

cff-version: 1.0.0
message: "If you use this code, please cite our paper."
title: "Performance paradox in matching models with abandonment"
authors:
  - family-names: Li
    given-names: Shu
    orcid: https://orcid.org/0000-0002-4075-9885
data-released: 2025-06-24
version: 1.0.0
identifiers:
doi: 10.6084/m9.figshare.29391455
repository-code: https://github.com/shuligraph/matching-abandonment
license: MIT

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Dependencies

requirements.txt pypi
  • joblib *
  • numba *
  • numpy *
  • tqdm *