Update README.

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Oleksii Trekhleb 2018-04-26 07:39:08 +03:00
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## Algorithms ## Algorithms
### Algorithms by Topic
* **Math** * **Math**
* [Factorial](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/factorial) * [Factorial](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/factorial)
* [Fibonacci Number](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/fibonacci) * [Fibonacci Number](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/fibonacci)
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* **Minimum Spanning Tree** * **Minimum Spanning Tree**
* Prims algorithm * Prims algorithm
* Kruskals algorithm * Kruskals algorithm
* **Dynamic Programming**
* [Levenshtein Distance](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
* [Longest Common Subsequence](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/longest-common-subsequnce) (LCS)
* [Longest Common Substring](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/longest-common-substring)
* Increasing subsequence
* Knapsack problem
* Maximum subarray
* Maximum sum path
* Integer Partition
* Longest Increasing subsequence
* Shortest common supersequence
* **Uncategorized** * **Uncategorized**
* Union-Find * Union-Find
* Maze * Maze
### Algorithms by Paradigm
* **Greedy**
* **Divide and Conquer**
* **Dynamic Programming**
* [Levenshtein Distance](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
* [Longest Common Subsequence](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/longest-common-subsequnce) (LCS)
* [Longest Common Substring](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/string/longest-common-substring)
* Increasing subsequence
* Longest Increasing subsequence
* Shortest common supersequence
* Knapsack problem
* Maximum subarray
* Maximum sum path
* Integer Partition
* **Backtracking**
* **Branch & Bound**
## Running Tests ## Running Tests