TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

Algorithms (2019)

138 pointsby davikrover 1 year ago

11 comments

dangover 1 year ago
Related. Others?<p><i>Algorithms by Jeff Erickson</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=26074289">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=26074289</a> - Feb 2021 (152 comments)<p><i>Algorithms book, by Jeff Erickson</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=20733923">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=20733923</a> - Aug 2019 (13 comments)<p><i>Algorithms, by Jeff Erickson</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=18805624">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=18805624</a> - Jan 2019 (238 comments)<p><i>Algorithms, Etc. (2015)</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=16379236">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=16379236</a> - Feb 2018 (6 comments)<p><i>Algorithms Course Materials, by Jeff Erickson</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=3345041">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=3345041</a> - Dec 2011 (2 comments)
threatofrainover 1 year ago
Maybe we should just have a HN top open source technical textbooks list along with all prior discussions listed under it.
评论 #38255212 未加载
评论 #38254532 未加载
评论 #38254899 未加载
评论 #38254491 未加载
Icathianover 1 year ago
For my graduate algorithms course, this was by far the book that fit my brain the best. Can&#x27;t recommend it enough.
einpoklumover 1 year ago
How does this compare to the (better-known IIANM) Introduction to Algorithms by Cormen, Leiserson, Rivest and Stein?<p><a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Introduction_to_Algorithms" rel="nofollow noreferrer">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Introduction_to_Algorithms</a>
评论 #38256661 未加载
karmakazeover 1 year ago
<p><pre><code> Table of Contents 1. Recursion 2. Backtracking 3. Dynamic Programming 4. Greedy Algorithms 5. Basic Graph Algorithms 6. Depth-First Search 7. Minimum Spanning Trees 8. Shortest Paths 9. All-Pairs Shortest Paths 10. Maximum Flows &amp; Minimum Cuts 11. Applications of Flows and Cuts 12. NP-Hardness </code></pre> Each chapter has more detailed subsections in the full TOC, but this gives an overall outline.
评论 #38256967 未加载
OnionBlenderover 1 year ago
The alternative URL is <a href="http:&#x2F;&#x2F;algorithms.wtf" rel="nofollow noreferrer">http:&#x2F;&#x2F;algorithms.wtf</a>
Scarbuttover 1 year ago
The book might be more aptly called &#x27;advanced algorithms&#x27; as the prerequisites clearly indicate a need for a solid understanding of discrete mathematics, all fundamental data structures, and proficiency in basic algorithms related to searching, sorting, and graph theory.
dronesover 1 year ago
First chapter questions:<p>(a) Identify (or write) a song that requires Θ(n3) time to sing the first n verses.<p>(b) Identify (or write) a song that requires Θ(nlog n) time to sing the first n verses.<p>(c) Identify (or write) a song that requires some other weird amount of time to sing the first n verses.<p>Any ideas?
SJMGover 1 year ago
It&#x27;s a good book for sure. You&#x27;ll never look at your best-asymptotic fibonacci solution the same way again.
uoaeiover 1 year ago
What does the cover graphic symbolize? Maybe it is stylized Arabic text...?
评论 #38257147 未加载
评论 #38255711 未加载
评论 #38255512 未加载
russfinkover 1 year ago
I reviewed this, it was “okay” but some part disagreed with me.<p>A better treatment is Tim Roughgarden. Not free, but not expensive either. Worth every penny and then some. (I learned of it from a HN commenter.)