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Sublinear Time Complexity
Sublinear
time complexity
refers to algorithms that run in less time than it takes to read the entire input, typically denoted as o(n), where n is the
size of the input
. These algorithms are crucial for handling
large datasets
efficiently, often by making decisions based on a
small sample
of the input or using
probabilistic methods
.
Relevant Degrees
Software Engineering and Development 100%
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