Faster Algorithms for Sparse Convolution and Related Problems via Large Sieve Inequality

The paper presents novel applications of the large sieve inequality from analytic number theory to obtain improved algorithms for various sparse pattern matching problems, including Sparse Nonnegative Convolution, Sparse General Convolution, Text-to-Pattern Hamming Distances, and the Constellation problem.