Quadratic time refers to a specific class of algorithmic complexity where the time required to complete a task grows proportionally to the square of the size of the input data. This means that if the input size doubles, the time taken to execute the algorithm increases by a factor of four. This level of complexity often arises in algorithms that involve nested iterations over the data set, making them less efficient for large inputs compared to linear or logarithmic time complexities.
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