There are some interesting algorithms in simulation from Physics, Chemistry, and Engineering especially regarding Monte Carlo simulation: Heat Bath algorithm, Metro-Police algorithm, Markov Chain Monte Carlo, etc.

there is data_structures/src/list/singly_linked_list, but there is also a code for same problem in data_structures/linked_list/
One of them ought to be removed.

Add quickselect algorithm. Quickselect is a selection algorithm to find the kth smallest element in an unordered list.

steps to reproduce

Write a loop, from 1 to 80000, each time add a random int to the max heap.

In theory it takes very little time(NlogN, N=80000, <1sec ), but the program does take a long time.

I'v also tested the BinaryHeap in https://github.com/SolutionsDesign/Algorithmia, it performs well, so it is probably due to the bad algorithm.

https://github.com/benoitvallon/computer-science-in-javascript/blob/master/data-structures-in-javascript/tree.es6.js#L33

Splice in the for loop shifts the elements in the array and skips the sibling of the node that was removed.

Fix PR:

You can test with:

const tree = new Tree();
tree.add('ceo');
tree.add('cto1', 'ceo');
tree.add('cto2', 'ceo');
tree.add('cto3', 'ceo');
tree

instead of keeping one solitary readme I the root folder, it would be better to add separate README to each folder.
what this would achieve would be that for someone interested in ciphers should open the folder and find details in the README specific to ciphers only.
This seems like an easy process of splitting the README into separate duplicates and then adding them to individual folders, I wou

7 algorithms and data structures every programmer must know

Link above in readme has outdated link and website does not work.

Towel needs unit tests on its code to ensure the code works as intended. This issue is for tracking all the unit tests necessary for the first release of the Towel framework. All the unit tests should be located in the Tools/Towel_Testing project.

Towel.Syntax

• Syntax.Negation
• Syntax.Addition
• Syntax.Subtraction
• Syntax.Multiplication
• Syntax.Division
• [

First off, this is friggin' cool!

I would love to see three things here:

1. Benchmarks to compare how long each method takes.

2. A brief explanation of what each method is doing and how they differ (maybe strengths/weaknesses).

3. Easily change the dataset size from 10 to 100, to maybe 1,000 or 10,000.

So cool! Great job! 👏 👏