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https://github.com/nishusharma1608/average-path-length-to-a-random-node-in-a-bst
Empirical studies to compute the average and standard deviation of the average length of a path to random node (internal path length divided bye tree size,plus 1) in a BST built by insertion of N random keys into an initially empty tree,for N from 100 to 10,000.1000 trials for each tree size to increase precision.Plotted the result in a Tufte plot,fit with a curve plotting the function 1.39 logN - 1.85.
https://github.com/nishusharma1608/average-path-length-to-a-random-node-in-a-bst
Last synced: 10 days ago
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Empirical studies to compute the average and standard deviation of the average length of a path to random node (internal path length divided bye tree size,plus 1) in a BST built by insertion of N random keys into an initially empty tree,for N from 100 to 10,000.1000 trials for each tree size to increase precision.Plotted the result in a Tufte plot,fit with a curve plotting the function 1.39 logN - 1.85.
- Host: GitHub
- URL: https://github.com/nishusharma1608/average-path-length-to-a-random-node-in-a-bst
- Owner: nishusharma1608
- Created: 2016-12-05T09:01:00.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2016-12-05T09:06:10.000Z (almost 8 years ago)
- Last Synced: 2024-03-20T09:57:56.042Z (8 months ago)
- Language: Java
- Size: 3.16 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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# Average-Path-Length-to-a-Random-Node-in-a-BST
Empirical studies to compute the average and standard deviation of the average length of a path to random node (internal path length divided bye tree size,plus 1) in a BST built by insertion of N random keys into an initially empty tree,for N from 100 to 10,000.1000 trials for each tree size to increase precision.Plotted the result in a Tufte plot,fit with a curve plotting the function 1.39 logN - 1.85.