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Logarithmic Complexity refers to an Algorithm's efficiency in terms of Execution Time, where the time grows in proportion to the logarithm of the Input size. It is considered Highly Efficient because it significantly reduces the Number of operations required as compared to linear or Polynomial complexities, making it ideal for Large Datasets.
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