SVD非常有用的原因是，它能够找到我们矩阵的一个降维表示，他强化了其中较强的关系并且扔掉了噪音（这个算法也常被用来做图像压缩）。
Thereason SVD is useful, is that it finds a reduced dimensional representation ofour matrix that emphasizes the strongest relationships and throws away thenoise.
介绍了对稀疏矩阵进行压缩存储时，稀疏矩阵相乘运算的基本思想和算法。
This paper introduces the basic idea and algorithm of sparse Matrix multiplication by using incompact storage method.
通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩，得到了小波域中地震波场正演模拟算法。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
应用推荐