The SuiteSparse Matrix Collection

The SuiteSparse 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. Its matrices cover a wide spectrum of domains, include those arising from problems with underlying 2D or 3D geometry (as structural engineering, computational fluid dynamics, model reduction, electromagnetics, semiconductor devices, thermodynamics, materials, acoustics, computer graphics/vision, robotics/kinematics, and other discretizations) and those that typically do not have such geometry (optimization, circuit simulation, economic and financial modeling, theoretical and quantum chemistry, chemical process simulation, mathematics and statistics, power networks, and other networks and graphs.

SuiteSparse 稀疏矩阵库是一个庞大且持续增长的稀疏矩阵集合，这些矩阵源自实际应用。该集合在数值线性代数领域被广泛用于稀疏矩阵算法的开发与性能评估，它为稳健且可重复的实验提供了可能。库中的矩阵涵盖了广泛的领域，包括源于二维或三维几何问题（如结构工程、计算流体动力学、模型降阶、电磁学、半导体器件、热力学、材料科学、声学、计算机图形学与视觉、机器人学与运动学以及其他离散化问题）的矩阵，以及通常不涉及此类几何结构的矩阵（如优化、电路仿真、经济与金融建模、理论化学与量子化学、化学过程仿真、数学与统计学、电力网络以及其他网络与图论）。

搜集汇总

背景与挑战

背景概述

The SuiteSparse Matrix Collection 是一个大型且持续增长的稀疏矩阵集合，包含2,893个矩阵，来源于实际应用，覆盖结构工程、计算流体动力学、优化等多个领域。它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，支持开放访问，并提供MATLAB、Mathematica等软件接口。