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vector multiplication中文什么意思

發(fā)音:   用"vector multiplication"造句
  • 矢乘
  • 矢量乘法
  • 向量乘法
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  1. Since the main cost per iteration of the gmres method is the cost of the matrix - vector multiplication , the fast matrix - vector multiplication is the key of the algorithm
    廣義極小剩余法的每一步迭代的主要運(yùn)算量來自矩陣-向量相乘，因此構(gòu)造矩陣-向量快速乘法是整個(gè)快速方法的關(guān)鍵。
  2. It reduces greatly the computational complexity of matrix - vector multiplication in conjugate gradient iteration improves the efficiency of mlfma while the reasonable accuracy is maintained
    該方法在保證合理計(jì)算精度的同時(shí)大大降低了迭代過程中矩陣矢量相乘的計(jì)算復(fù)雜度，提高了多層快速多極子方法計(jì)算效率。
  3. To further speed up the solution of scattering from three dimensional electrically large object by multilevel fast multipole algorithm ( mlfma ) , a local multilevel fast multipole algorithm ( lmlfma ) based on local interactions is proposed to evaluate matrix - vector multiplication
    摘要為了進(jìn)一步加速多層快速多極子算法求解電大尺寸目標(biāo)電磁散射，提出了一種基于局部耦合技術(shù)計(jì)算矩陣矢量相乘的多層快速多極子方法。
  4. Secondly , the adaptive integral method is studied in detail . the two key techniques used in aim are introduced in roundly . they are : fast and efficient solutions of auxiliary basis function , and fft used to accelerate the computation of toeplitz matrix and vector multiplication
    接著,詳細(xì)研究了自適應(yīng)積分方法的基本原理和數(shù)值實(shí)現(xiàn)方法,并深入研究了數(shù)值實(shí)現(xiàn)中的兩個(gè)關(guān)鍵問題:輔助基函數(shù)的快速精確求解和fft加速多層拓?fù)淅澗仃嚺c矢量相乘的計(jì)算。
  5. Instead , there needs to store only the original coefficient matrix , some auxiliary matrices for the preconditioner and several vectors in the iteration methods . further , the core of the iteration is the matrix - vector multiplication and the solution of the auxiliary equations corresponding to the preconditioner . if the solution of the auxiliaries spend not very much , the computational cost in each iteration step will be very cheap , due to the fact that the sparsity of the matrix can be exploited sufficiently
    與直接法相比，迭代法只需存儲(chǔ)原系數(shù)矩陣、對(duì)應(yīng)于預(yù)處理的幾個(gè)輔助矩陣與少量幾個(gè)向量，且迭代中除求解輔助線性方程組外，其余的計(jì)算主要是稀疏矩陣與向量乘積，從而能充分利用稀疏性減少計(jì)算量，但迭代法的收斂速度一般與系數(shù)矩陣的譜分布有關(guān)。

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