Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...

Abstract: In order to improve the reconstruction accuracy of images in compressed sensing, a quantitative matrix optimization algorithm based on fractional order Duffing system is proposed. Firstly, ...

Abstract: Recently, there has been a growing interest in the exploration of Nonlinear Matrix Decomposition (NMD) due to its close ties with neural networks. NMD aims to find a low-rank matrix from a ...

This package provides Rust implementations and a Typst wrapper for selected routines that are expensive to compute in pure Typst. In particular, this package supercharges the plotting package Lilaq by ...