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Logarithmic Complexity
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Summary
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
.
Concepts
Algorithm Efficiency
Computational Complexity
Big O Notation
Binary Search
Data Structures
Exponential Growth
Tree Traversal
Logarithmic Time
Node Rotation
Relevant Degrees
Mathematical Cybernetics 100%
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