O(1) space complexity refers to an algorithm's requirement for a constant amount of memory, regardless of the input size. This means that the algorithm does not use additional memory as the input grows, which can lead to more efficient performance when handling large datasets. It's important for algorithms to minimize space usage, especially when working with limited resources.
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