A Formal Correctness Proof of Edmonds’ Blossom Shrinking Algorithm

Abstract We present the first formal correctness proof of Edmonds’ blossom shrinking algorithm for maximum cardinality matching in general graphs. We focus on formalising the mathematical structures and properties that allow the algorithm to run in worst-case polynomial running time. We formalise Berge’s lemma, blossoms and their properties, and a mathematical model of the algorithm, showing that it is totally correct. We provide the first detailed proofs of many of the facts underlying the algorithm’s correctness.

Authors

Institutions

Publication Details

Journal
Journal of Automated Reasoning
Published
2026-02-16
DOI
https://doi.org/10.1007/s10817-026-09747-y
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Formal Correctness Proof of Edmonds’ Blossom Shrinking Algorithm

Mohammad Abdulaziz, Kurt Mehlhorn
Journal of Automated Reasoning
Advanced Graph Theory Research
article

A Formal Correctness Proof of Edmonds’ Blossom Shrinking Algorithm

Mohammad Abdulaziz, Kurt Mehlhorn
article en

Abstract

Abstract We present the first formal correctness proof of Edmonds’ blossom shrinking algorithm for maximum cardinality matching in general graphs. We focus on formalising the mathematical structures and properties that allow the algorithm to run in worst-case polynomial running time. We formalise Berge’s lemma, blossoms and their properties, and a mathematical model of the algorithm, showing that it is totally correct. We provide the first detailed proofs of many of the facts underlying the algorithm’s correctness.

Journal of Automated ReasoningVol. 70(1)
King's College London (GB), Max Planck Institute for Informatics (DE)
Openalex Percentile: Top 52%
Advanced Graph Theory Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.