#binary-search #binary-tree #collection #basic #table #bloom #bloom-filter

librualg

Collection of basic algorithms for everyday development

28 breaking releases

0.30.0 Jun 6, 2021
0.28.0 May 27, 2021
0.7.0 Mar 26, 2021
0.2.0 Oct 24, 2020

#1741 in Data structures

Download history 53/week @ 2024-04-02

121 downloads per month

MIT license

120KB
2.5K SLoC

Collection of basic algorithms for everyday development

Build Status Rust crates.io Coverage Status

LIst of algorithms:


Search algorithms:

  • Binary search
  • Bloom Filter
  • Binary Tree

Segment Tree:

  • RSQ (Range Sum Query)
  • RMQMin (Range Minimum Query)
  • RMQMax (Range Maximum Query)

Sparse Tables:

  • SparseTableMin (Range Minimum Queries)
  • SparseTableMax (Range Maximum Queries)

String Algorithms:

  • Knuth–Morris–Pratt string-searching algorithm (or KMP algorithm)
  • Trie or prefix tree
  • Levenshtein distance (Metric of the difference between two symbol sequences)
  • Search for the minimum string period
  • Search distinct substrings
  • Suffix Array
  • The Longest Common Prefix
  • Search for a common substring (hashing)
  • Algorithm Aho Corasick. Search for a set of substring from the dictionary in the given string.

Combinatorics and enumeration algorithms

  • Permutation generation

Graph algorithms:

  • BFS (Breadth-First Search)
  • DFS (Depth-First Search)
  • Dijkstra
  • Connected components
  • Strongly connected components
  • Topologic sort (for DAG)
  • Kruskal's algorithm

Mathematics algorithms:

  • The Greatest Common Divisor (GCD)
  • Fast pow
  • Fast pow by module
  • Checking a Number for Simplicity (Fermat's test)

Data compression:

  • Huffman algorithm

Data Structure:

  • DSU (disjoint-set-union)

Sheduling:

  • Johnson's Algorithm For Scheduling

Example

extern crate librualg;
use librualg::*;

fn main(){
    let seq = [1, 2, 3, 3, 4, 5];
    assert_eq!(binary_search::upper_bound(&seq, &3), Some(3));
}

Dependencies

~330–560KB