<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Connectivity on Jeanphilo Blog</title><link>https://jeanphilogong.github.io/jeanblog/tags/connectivity/</link><description>Recent content in Connectivity on Jeanphilo Blog</description><generator>Hugo -- 0.168.0</generator><language>en-us</language><lastBuildDate>Tue, 30 Jun 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://jeanphilogong.github.io/jeanblog/tags/connectivity/index.xml" rel="self" type="application/rss+xml"/><item><title>Union-Find Template: Derive find / union / count</title><link>https://jeanphilogong.github.io/jeanblog/alg/leetcode/hot100/union-find/union-find-template/</link><pubDate>Tue, 30 Jun 2026 00:00:00 +0800</pubDate><guid>https://jeanphilogong.github.io/jeanblog/alg/leetcode/hot100/union-find/union-find-template/</guid><description>Derive the Python Union-Find template from a small set-merging task: parent, find, union, count, connected, and path compression.</description></item><item><title>Dynamic Graphs and Incremental Computation: ACERS Guide to Incremental Shortest Path, Incremental PageRank, and Connectivity Maintenance</title><link>https://jeanphilogong.github.io/jeanblog/dev/algorithm/graph/90-dynamic-graph-incremental-computation/</link><pubDate>Mon, 09 Feb 2026 10:00:28 +0800</pubDate><guid>https://jeanphilogong.github.io/jeanblog/dev/algorithm/graph/90-dynamic-graph-incremental-computation/</guid><description>For real-world graph systems, this article systematically explains dynamic graph incremental algorithms: incremental shortest path, incremental PageRank, and connectivity maintenance. It focuses on three core engineering techniques: local recomputation, lazy updates, and approximate results.</description></item></channel></rss>