multiplication in vector 中文意思是什麼

multiplication in vector 解釋
在媒介昆蟲內繁殖
  • multiplication : n. 增加,增殖；倍增；【數學】乘法；乘法運算。
  • in : adv 1 朝里，向內，在內。 A coat with a furry side in有皮裡子的外衣。 Come in please 請進來。 The ...
  • 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...
  1. 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。
  2. 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。
  3. 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。
  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。
  5. 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。
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