SuiteSparse Matrix Collection

The SuiteSparse Matrix Collection (formerly known as the University of Florida Sparse Matrix Collection), is a large and actively growing set of sparse matrices that arise in real applications. The Collection is widely used by the numerical linear algebra community for the development and performance evaluation of sparse matrix algorithms. It allows for robust and repeatable experiments: robust because performance results with artificially-generated matrices can be misleading, and repeatable because matrices are curated and made publicly available in many formats.SuiteSparse矩阵集（前身为佛罗里达大学稀疏矩阵集）是一组规模庞大且持续更新的真实应用场景衍生稀疏矩阵集合。该集合被数值线性代数领域广泛用于稀疏矩阵算法的研发与性能评估。其支持兼具鲁棒性与可复现性的实验：鲁棒性源于人工生成矩阵的性能结果往往存在误导性，可复现性则得益于所有矩阵均经过精心遴选，并以多种格式公开发布。

搜集汇总

背景与挑战

背景概述

SuiteSparse Matrix Collection（原University of Florida Sparse Matrix Collection）是一个来自实际应用、持续增长的稀疏矩阵集合，被数值线性代数社区广泛用于稀疏矩阵算法的开发和性能评估。它通过提供经过整理的公开矩阵，确保了实验的稳健性和可重复性。