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Implements comprehensive matrix operations module with:

  • Matrix multiplication using standard algorithm (O(nmp) complexity)
  • Matrix transpose operation (O(n*m) complexity)
  • Determinant calculation using recursive cofactor expansion (O(n!) complexity)
  • Sparse matrix conversion to/from COO format

Each function includes:

  • Detailed algorithm descriptions
  • Time and space complexity analysis
  • Comprehensive docstrings with examples
  • Input validation and error handling
  • Practical usage examples in main section

Implements comprehensive matrix operations module with:

- Matrix multiplication using standard algorithm (O(n*m*p) complexity)
- Matrix transpose operation (O(n*m) complexity)
- Determinant calculation using recursive cofactor expansion (O(n!) complexity)
- Sparse matrix conversion to/from COO format

Each function includes:
- Detailed algorithm descriptions
- Time and space complexity analysis
- Comprehensive docstrings with examples
- Input validation and error handling
- Practical usage examples in __main__ section
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github-actions bot commented Oct 9, 2025

🎉 Welcome to Hacktoberfest 2025, @rishanmenezes! 🎃

Thank you for your first contribution to our DSA repository! Here's what happens next:

🔍 Automatic Checks

  • Code Validation: Passed
  • 🧪 Compilation Tests: Passed

📋 Next Steps

🎯 Great job! Your code compiled successfully. Maintainers @Karanjot786 and @Pradeepsingh61 will review your PR soon.

🎁 What You Get

  • 🏆 Hacktoberfest Credit: This PR counts toward your 6 PR goal for exclusive T-shirt + Tree!
  • 🌟 Hall of Fame: You'll be featured in our contributors list
  • 📚 Learning: Code review feedback from experienced developers

💡 Tips for Success

  • Follow our Contributing Guidelines
  • Add comments explaining your algorithm
  • Include time/space complexity analysis
  • Test your code before submitting

Welcome to the community! 🚀

@github-actions github-actions bot requested a review from Karanjot786 October 9, 2025 17:47
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github-actions bot commented Oct 9, 2025

🤖 Automated PR Status

🔍 Code Validation

Passed - File naming and structure look good!

🧪 Compilation Tests

Passed - All code compiles successfully!

📋 Overall Status

🎉 Ready for Review - Your PR has passed all automated checks!
👥 Maintainers have been notified for review.


This comment was generated automatically. Checks will re-run when you push new commits.

@Pradeepsingh61 Pradeepsingh61 merged commit 82915f9 into Pradeepsingh61:main Oct 10, 2025
19 checks passed
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2 participants