vector multiplication 中文意思是什麼

vector multiplication 解釋
矢乘
  • vector : n 1 【數學】向量，矢量，動徑。2 【航空】飛機航線；航向指示。3 【天文學】幅，矢徑。4 【生物學】帶...
  • multiplication : n. 增加,增殖；倍增；【數學】乘法；乘法運算。
  1. The definition of work suggests a third process of vector algebra, namely, scalar multiplication of two vectors.

    功的定義用到矢量代數的第三種運算，即兩個矢量的標積。
  2. Basic linear algebra in matlab ?. vector and matrix addition and multiplication. solving sets of linear equations using matrices

    使用matlab軟體中的基礎線性代數、向量和陣列的加法與乘法，以及使用陣列解決多組線性方程式。
  3. Fundamentally, both vector and scalar processors execute instructions based on a clock ; what sets them apart is the ability of vector processors to parallelize computations involving vectors such as matrix multiplication, which are commonly used in high performance computing

    從根本上來講，向量處理器和標量處理器都是基於時鐘周期來執行指令的；使它們產生區別的是向量處理器并行處理與向量有關的計算的能力（例如矩陣乘法） ，這在高性能計算中是非常常見的。
  4. The coordinate transformation rules, the combination characteristic of the transfer function are discussed. the solution procedure of series mechanical system is deduced by applying dual - vector addition and matrix multiplication. and the mathematical models are obtained

    根據建立的數學模型，本文提出了相應的按位存儲數據結構以及樹型遞歸分解演算法，實現了狀態變換矩陣（包括類型、方向及變換特徵）的自動分解。
  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，迭代法只需存儲原系數矩陣、對應于預處理的幾個輔助矩陣與少量幾個向量，且迭代中除求解輔助線性方程組外，其餘的計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算量，但迭代法的收斂速度一般與系數矩陣的譜分佈有關。
  6. 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，詳細研究了自適應積分方法的基本原理和數值實現方法，並深入研究了數值實現中的兩個關鍵問題:輔助基函數的快速精確求解和fft加速多層拓撲利茲矩陣與矢量相乘的計算。
  7. 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

    廣義極小剩餘法的每一步迭代的主要運算量來自矩陣-向量相乘，因此構造矩陣-向量快速乘法是整個快速方法的關鍵。
  8. 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算精度的同時大大降低了迭代過程中矩陣矢量相乘的計算復雜度，提高了多層快速多極子方法計算效率。
  9. 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

    摘要為了進一步加速多層快速多極子演算法求解電大尺寸目標電磁散射，提出了一種基於局部耦合技術計算矩陣矢量相乘的多層快速多極子方法。
  10. To obtain the fast matrix - vector multiplication algorithm, we approximate the kernel function with piece - wise polynomial and get the approximate coefficient matrix a using the approximate kernel function. let n be the number of quadrature points and k2 be the number of interpolating knots at each subdomain. it is proved that the construction of a and the matrix - vector multiplication ax require o ( nk ) operations respectively

    我們利用對核函數進行分片多項式插值逼近得到適用於快速方法的近似系數矩陣a ：矩陣a的計算和矩陣-向量相乘ax各需要o （ nk ）次運算，存貯a需要佔用o （ nk ）內存，其中n為積分節點的個數， k ~ 2為每個小區域的插值節點數。
  11. And. . just. . i think a little bit about matrix notation and how do that multiplication, so let me say how i multiply a matrix by a vector

    同時…正…我再思考一下矩陣符號以及怎麼樣來做那個乘法，那麼，讓我來講我是怎麼樣用一個矩陣去乘以一個向量的。
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