Algorithms
Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos. Jeff Erickson is a computer science professor at the University of Illinois, Urbana-Champaign; this book is based on algorithms classes he has taught there since 1998.
Stats for nerds
10recommend
14mentions
14people
2013–2025years
71% recommend29% neutral
Mentions per year
What Hacker News says
- It depends?
1. Programming Philosophy?
- The Unix Philosophy
- 97 Things every programmer should know
2. CS Fundamentals
- The Elements of Computing Systems by Simon
- Algorithms by Jeff Erickson
3. Data Science
- Programming Collective Intelligence by Toby Segaran
- Deep Learning by Ian Goodfellow & Yoshua Bengio
- Is this an ask for resources or an ask for people to join.
If the former, I recommend jeff Erickson's freely available Algorithms textbook
- > there’s a reason these people are self publishing.
??? What in the paranoia is this, do you think the same of Jeff Erickson who self publishes his book on Algorithms? Or no, because he's a professor?
I get that you need to use surface-level signals to determine if something is worth your time, but the opposite is not "this is crap" the opposite is "I don't know if this is good"
- The good thing about Algorithm Design & Analysis as a topic is that there is no lack of great resources to learn from! And even better, a large portion of them are freely available online (in forms of lecture notes, or entire books, video lectures, programming challenges with online judging, etc).
In addition to what others have mentioned, here are some example resources you might prefer for a beginner-intermediate level intro:
1. (free online) Algorithms by Dasgupta, Papadimitriou, and Vazirani http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-...
2. (free online) Algorithms by Jeff Erickson https://jeffe.cs.illinois.edu/teaching/algorithms/
3. Algorithm design by Kleinberg & Tardos https://www.amazon.com/Algorithm-Design-Jon-Kleinberg/dp/032...
4. Another one specifically for more applied view (esp., how they are used in programming contests such as ICPC) is Skiena & Revilla's "Programming Challenges" book (https://www.amazon.com/Programming-Challenges-Contest-Traini...). Note that this is different than Skiena's other popular book (Algorithm Design manual) which is also pretty good and has a "war story" based perspective to design of algorithms.
5. There are also several resources where lecture notes from university Algorithm & DS courses are very useful. Here is an example from my previous Professor, David Kempe: http://david-kempe.com/teaching/DataStructures.pdf
6. Several programming competition specific tutorials can be found on Topcoder: https://www.topcoder.com/thrive/tracks?track=Competitive%20P... (individual SRM archives are also good place to try problems first hand and then learn from other's approach). In general, if you search for ACM-ICPC resources, you will find a lot more targeted information/problems which will apply not only for leetcode, but also for detailed understanding of the theory too.
- I like:
algorithms.wtf
Algorithms by Jeff Erickson
- I'm a big fan of Algorithms by Jeff Erickson (free to download at http://jeffe.cs.illinois.edu/teaching/algorithms/)
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