iFlow - An Interactive Max-Flow Min-Cut Algorithms Visualizer

The Max-Flow/Min-Cut problem is a fundamental tool in graph theory, with applications in many domains, including data mining, image segmentation, transportation planning, and many types of assignment problems, in addition to being an essential building block for many other algorithms. The Ford-Fulkerson Algorithm for Max-Flow/Min-Cut and its variants are therefore commonly taught in undergraduate and beginning graduate algorithms classes. However, these algorithms - and in particular the so-called residual graphs they utilize - often pose significant challenges for students.

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Publication Details

Published
2025-02-12
DOI
https://doi.org/10.1145/3641554.3701869
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
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article

iFlow - An Interactive Max-Flow Min-Cut Algorithms Visualizer

Muyang Ye, Tianrui Xia, David Kempe, Q. Wang et al.
Teaching and Learning Programming
article

iFlow - An Interactive Max-Flow Min-Cut Algorithms Visualizer

Muyang Ye, Tianrui Xia, David Kempe, Q. Wang, Tianxin Zu
article en

Abstract

The Max-Flow/Min-Cut problem is a fundamental tool in graph theory, with applications in many domains, including data mining, image segmentation, transportation planning, and many types of assignment problems, in addition to being an essential building block for many other algorithms. The Ford-Fulkerson Algorithm for Max-Flow/Min-Cut and its variants are therefore commonly taught in undergraduate and beginning graduate algorithms classes. However, these algorithms - and in particular the so-called residual graphs they utilize - often pose significant challenges for students.

University of Southern California (US)
Openalex Percentile: Top 97%
Teaching and Learning Programming
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