In-place computation refers to a method of processing data where the computation is performed directly within the original data structure, without needing to allocate additional space for a copy. This approach is crucial for optimizing memory usage, especially in algorithms like the Fast Fourier Transform (FFT), which requires efficient manipulation of large datasets. By modifying the data in its original location, in-place computation reduces memory overhead and can lead to faster execution times.
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