Matrix Variation Basis of Sparse Matrix Multiplication
矩阵相乘的压缩存储算法
Ordering for Gauss Elimination and Graph of Sparse Matrix
高斯消元的顺序和稀疏矩阵的图解
Firstly, sparse vector method is discussed by factor matrix and elimination tree.
首先根据因子矩阵和消去树，讨论了稀疏向量法。
Optimization techniques for the sparse matrix vector multiplication are adopted in programming.
编程中采用了稀疏矩阵向量相乘的优化技术。
By the singular value decomposition of this sparse matrix, the high dimensions of image database feature matrix can be reduced.
对此矩阵进行奇异值分解，以实现高维图像特征库降维
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