稀疏矩阵技术检测软件
Technique detection software for Sparse Matrices
摘要：
稀疏存储格式是用于有效地存储和处理稀疏矩阵数据的技术。这些存储格式的性能取决于矩阵中不同维度的非零分布。为了得到更好的结果，我们需要一种最适合在特定矩阵中组织数据的技术。因此，选择更好的技术是提高系统结果的主要步骤，否则效率会降低。本研究的目的是帮助确定最佳的存储格式的情况下，减少存储大小和高处理效率的稀疏矩阵。
英文摘要：
Sparse storage formats are techniques for storing and processing the sparse matrix data efficiently. The performance of these storage formats depend upon the distribution of non-zeros, within the matrix in different dimensions. In order to have better results we need a technique that suits best the organization of data in a particular matrix. So the decision of selecting a better technique is the main step towards improving the system's results otherwise the efficiency can be decreased. The purpose of this research is to help identify the best storage format in case of reduced storage size and high processing efficiency for a sparse matrix.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
