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thealgorithms/c-plus-plus

34,263C++Audience · developerComplexity · 1/5QuietLicenseSetup · easy

TLDR

A collection of C++ implementations of classic algorithms from computer science, math, and machine learning, designed for learning and reference, not production use.

Mindmap

mindmap
  root((repo))
    What it does
      Algorithm implementations
      Educational reference
      Self-contained examples
    Topics covered
      Sorting and searching
      Data structures
      Graph algorithms
      Machine learning basics
    Use cases
      Study for courses
      Competitive programming
      Learning C++
    Tech stack
      C++17
      Standard library only
      GCC, Clang, MSVC

Things people build with this

USE CASE 1

Study algorithm implementations while learning C++ or preparing for computer science exams.

USE CASE 2

Find clean reference code for sorting, searching, graphs, and dynamic programming during competitive programming practice.

USE CASE 3

Understand how classic data structures like trees, queues, and hash tables work by reading well-documented source files.

USE CASE 4

Teach algorithms in a classroom by showing real, runnable C++ examples with no external dependencies.

Tech stack

C++17GCCClangMSVCDoxygen

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

TheAlgorithms/C-Plus-Plus is an open-source educational repository containing C++ implementations of a wide range of algorithms from computer science, mathematics, statistics, machine learning, data structures, and physics. It is part of the broader TheAlgorithms organization, which maintains similar collections in many other programming languages. The purpose is purely educational: each file demonstrates how a specific algorithm works, written clearly with documentation explaining the logic. Topics covered include sorting and searching algorithms (like quicksort, binary search), data structures (trees, graphs, queues), mathematical computations (prime numbers, modular arithmetic), machine learning basics (neural networks, k-means clustering), graph algorithms, string matching, dynamic programming, and many more. Rather than providing a library you would import into a production project, this is a reference collection for students, educators, and self-learners who want to see how algorithms are implemented in a real language. Each source file is self-contained, it uses only the C++ standard library with no external dependencies, so you can compile and run any single file independently without a complex build setup. The code follows the C++17 standard, which means it is compatible with modern compilers on Windows, macOS, and Linux as well as embedded systems. You would use this repository when studying algorithms as part of a computer science course or competitive programming practice, when you want a clean reference implementation to understand how something works, or when you are learning C++ and want well-documented examples of real algorithms. The tech stack is C++17, compiled with standard compilers (GCC, Clang, MSVC). No frameworks or external libraries are required. Documentation is generated automatically using Doxygen.

Copy-paste prompts

Prompt 1
Show me how to implement quicksort in C++17 using only the standard library, with clear comments explaining each step.
Prompt 2
I need to understand binary search trees. Can you walk me through the C++ implementation in theAlgorithms/C-Plus-Plus and explain the insert and search logic?
Prompt 3
How do I compile and run a single algorithm file from theAlgorithms/C-Plus-Plus on my machine without a build system?
Prompt 4
Find the k-means clustering implementation in theAlgorithms/C-Plus-Plus and explain how it works in plain English.
Prompt 5
What graph algorithms are available in theAlgorithms/C-Plus-Plus? Show me the Dijkstra implementation and how to use it.
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