THE VIDEO SHELF · succinct data structures
17. Succinct Structures I
Erik Demaine's MIT 6.851 Advanced Data Structures lecture introducing succinct data structures, covering rank, select and tries. It is part of the Spring 2012 course.
Why HN readers recommended it
HN recommends it as a clear, high-quality introduction to succinct data structures from a leading authority.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- MIT OpenCourseWare
- Topic
- succinct data structures
- Format
- lecture
- Level
- advanced
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2018–2022
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Erik Demaine [1] gave two good lectures on succinct data structures [2] in the 2012 MIT 6.851 Advanced Data Structures course, and Rajeev Raman [3] just gave a tutorial on succinct data structures [4] at SIGMOD 2018. NB: SDSL Cheatsheet [LINK] [1] [LINK] [2] MIT …
espeed on Hacker News · 2018-10
In SDSL – Succinct Data Structure Library 2.0Is there a good applied overview of succinct data structures for programmers (non CS researchers)? Also I just started researching succinct dynamic graph data structures a few days ago and ended up on a very interesting paper if anyone is interested: [LINK] Will also add …
faizshah on Hacker News · 2021-09
In Succinct Dynamic Data Structures (2001) [pdf]I'm most definitely not an expert in this area, but I have recently taken interest in learning about "succinct data structures", which from what I understand have their place in bioinformatics. It's been a challenging topic to learn about, because most of the information comes …
denvaar on Hacker News · 2022-11
In Consider working on genomics
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.