feat: added levenshtein#179
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Arpita23r
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Oct 9, 2025
- Implemented Levenshtein (Edit) Distance algorithm in R to compute the minimum number of edits required to convert one string into another.
- Uses dynamic programming for efficient computation in O(n × m) time.
- Handles insertions, deletions, and substitutions as edit operations.
- Supports case-insensitive input for flexible string comparisons.
- Provides interactive user input for testing and demonstration.
- Outputs the edit distance clearly, allowing easy verification of results.
- Stored file under string_manipulation/edit.distance.R following project structure conventions.
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Pull Request Overview
This PR implements the Levenshtein distance algorithm in R to calculate the minimum number of edit operations (insertions, deletions, substitutions) required to transform one string into another. The implementation uses dynamic programming for efficient O(n×m) computation and includes interactive user input functionality.
- Adds a complete Levenshtein distance function using dynamic programming
- Includes interactive input handling with case-insensitive string comparison
- Provides clear output formatting for the calculated edit distance
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