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This blog explains the best, average, and worst-case time complexity of Binary Search in a clear and practical way. It helps students and developers understand how Binary Search works, why it is efficient, and how it compares to other searching techniques, making it especially useful for interview preparation and real-world problem solving.
Binary search is faster than linear search because it repeatedly divides the search space into halves, reducing the number of comparisons required. Linear search checks elements one by one, which becomes inefficient for large datasets. This blog explains how both algorithms work, compares their time complexity, and highlights why binary search is preferred for sorted data. Understanding this difference is essential for mastering searching algorithms and performing well in technical interviews.