Abstract
Important problems across multiple disciplines involve computations on the semiring (or its equivalents, the negated version ), the log-transformed version , or the negated log-transformed version ): max-convolution, all-pairs shortest paths in a weighted graph, and finding the largest values in for two lists and . However, fast algorithms such as those enabling FFT convolution, sub-cubic matrix multiplication, \emph{etc.}, require inverse operations, and thus cannot be computed on semirings. This manuscript generalizes recent advances on max-convolution: in this approach a small family of -norm rings are used to efficiently approximate results on a nonnegative semiring. The general approach can be used to easily compute sub-cubic estimates of the all-pairs shortest paths in a graph with nonnegative edge weights and sub-quadratic estimates of the top values in when and are nonnegative. These methods are fast in practice and can benefit from coarse-grained parallelization.
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