The transposition routine is given in [FXT: aux2/transpose2.h]. We only use even powers of two so the transposition is that of a square matrix. As for dyadic convolutions we do not need the data in a particular order so we also include a version of the matrix algorithm that omits the final transposition:

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Problems on amortized analysis

Amortized analysis is a technique used to perform micro-level analysis of an algorithm's complexity or resource (time and memory) consumption. It is used for analyzing the time efficiency of data structures that support many operations such as stacks and heaps.Operations supported by stack include push, pop, multi push, and multi pop while operations supported by heap are inserted, delete, extract-min, and so forth. It focuses on the sequence in which these operations are executed and therefore, provides an accurate cost estimation.