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Overview

The hamiltonianPath function attempts to construct a valid Hamiltonian Path by recursively adding vertices to a path while ensuring adjacency and non-repetition constraints.
If the input adjacency matrix does not contain a Hamiltonian Path, the algorithm reports that no valid path was found.

This implementation provides a clear, educational example of graph backtracking and can be extended to find Hamiltonian Cycles as well.


Features

  • Implements a backtracking-based Hamiltonian Path search
  • Accepts input as an adjacency matrix (n × n)
  • Verifies adjacency and uniqueness at each recursive step
  • Prints the Hamiltonian Path when found
  • Returns logical TRUE if a path exists, otherwise FALSE
  • Includes a sample graph and example usage block for demonstration

Complexity

  • Time Complexity: O(n!) in the worst case (backtracking over all vertex permutations)
  • Space Complexity: O(n) for recursion stack and path storage

Copilot AI review requested due to automatic review settings October 18, 2025 09:31
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Pull Request Overview

This PR adds two new algorithm implementations to the repository: a Hamiltonian Path search using backtracking and a Fast Fourier Transform (FFT) using the Cooley-Tukey recursive approach. Both implementations include comprehensive documentation and example usage.

Key Changes:

  • Adds a backtracking-based Hamiltonian Path algorithm for finding paths that visit each vertex exactly once in an undirected graph
  • Adds a recursive FFT implementation with automatic zero-padding for non-power-of-two inputs
  • Includes detailed documentation files explaining usage, complexity, and implementation notes for both algorithms

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 5 comments.

File Description
graph_algorithms/hamiltonian_path.r Implements Hamiltonian Path search using backtracking with adjacency matrix input
mathematics/fast_fourier_transform.r Implements Cooley-Tukey FFT algorithm with power-of-two padding
documentation/hamiltonian_path.md Documents the Hamiltonian Path implementation including usage and complexity analysis
documentation/fast_fourier_transform.md Documents the FFT implementation including usage examples and complexity notes

@@ -0,0 +1,29 @@
# Fast Fourier Transform (FFT)

This file documents the recursive Cooley-Tukey FFT implementation added to `R/mathematics/fast_fourier_transform.r`.
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We don't add documentation in a separate file, please remove it

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2 participants