What are the potential drawbacks of using the naive pattern matching algorithm for large texts or patterns?
- Inefficient due to unnecessary character comparisons.
- It has a time complexity of O(n^2) in the worst-case scenario.
- It is not suitable for large patterns.
- Limited applicability to specific types of patterns.
The naive pattern matching algorithm becomes inefficient for large texts or patterns because it compares every character in the text with every character in the pattern, resulting in unnecessary comparisons. This leads to a quadratic time complexity (O(n^2)) in the worst-case scenario, making it less suitable for larger datasets.
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