In this paper, we propose a novel digital matrix vector multiplication and the incoherent optical correlator to compute discrete wavelet transforms. 提出一种新的数学编码方法来计算小波变换,并利用非相干光学相关器进行实验,结果与理论分析相符。
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。
Fast multipole method ( FMM ) is used to expedite the computation of matrix vector multiplication in iterative solver. Meanwhile fast Fourier transform ( FFT ) is applied to further accelerate the computation of translation term. 在积分方程法的迭代求解中用快速多极子法(FMM)加速矩阵与矢量的相乘计算,同时运用快速傅立叶变换(FFT)进一步提高快速多极子方法中的转换项计算。
The fast multiresolution algorithm of cell averages for matrix vector multiplication is applied to accelerate the iterative solution of the systems of linear equations generated by the 2 D direct boundary element method. 因此将单元均值形式的矩阵&向量乘快速多分辨率算法应用于加速二维直接边界元法线性方程组的迭代求解。
Document Similarity Degree Measuring Based on Compressed Sparse Matrix Vector Multiplication(MVM) Technique 基于压缩稀疏矩阵矢量相乘的文本相似度计算