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algorithmic-resources's Issues

Create a clearer hierarchy for topics

(This is a continued discussion from here)

Topics

In regard to the current Table of Contents (as quoted above), I suggest a possible restructure and create a clearer hierarchy for topics.

I would propose something like this (here I'll leave the decision of alphabetical order to you -- which I have explained my concerns for it in earlier discussions):

Topics

(still in alphabetical order)

New topic suggestions

From what I can think of at the moment,
Here is a list of recommendations for your list:

Generally speaking, the section on graph needs more contents IMO.

  • Connected Components (Keywords: Kosaraju's Algorithm, Tarjan's Algorithm, Strongly Connected Components (SCC), Biconnected Components (BCC), Articulation Point (AP))
  • Range Minimum/Maximum Queries (RMQ)
  • Least Common Ancestor (LCA)
  • Prime Factorization (Keywords: Miller-Rabin, Pollard's rho)
  • Sieve of Eratosthenes
  • Fenwick Tree (Binary Indexed Tree)

I'll add more if I can think of any that's not on the list.

Validate pull requests with Travis

Hello, I wrote a tool that can validate README links (valid URLs, not duplicate). It can be run when someone submits a pull request.

It is currently being used by

Examples

If you are interested, connect this repo to https://travis-ci.org/ and add a .travis.yml file to the project.

See https://github.com/dkhamsing/awesome_bot for options, more information
Feel free to leave a comment ๐Ÿ˜„

ternary search

the link to ternary search blog post opens a website which is for sale instead of the ternary seach blog post.

A little idea on what this list might include

Hi friend, this list currently contains some topics and related problems and this is fantastic. Thanks a lot for your work!

In my opinion, a list on competitive-programming might be better to include some other training resources like discussions on quora, famous papers, template library, etc. In other words, this list should not only include what to learn about during training, but also how to train in this field.

I thought about creating a Pull Request but it seems that this change might be a little too big for the current structure in this list. For example, we might put the Algorithms in a section and Data_Structure in another.

I noticed that this list was intended for Topic wise Theory and Questions to Get You Started, but I believe what we do should be good enough for people from newbie to IGM.

Looking forward to ideas, and thanks.

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