matrix vector 中文意思是什麼
matrix vector
解釋
矩陣向量-
Using matlab and its add - ons simulink, through establishing simulation maths model, the paper integrates open chain vector equation ( describing motion restriction ), numerical value simulation ( computing velocity and displacement while given acceleration ) and matrix algebra, etc. to accomplish dynamic simulation for the robot and verifies the results for kinematics of the robot using analysis method, and it establishes foundation for following study for the robot such as kinetics, control, etc
利用matlab及其附加軟體simulink ，通過建立模擬數學模型，綜合開環矢量方程（描述運動約束） 、數值模擬（在加速度已知時計算速度和位移） 、以及矩陣代數等來完成機器人動態模擬，對所研究的機器人運動學分析結果進行驗證，結果基本一致，為機器人的后續研究，如動力學，控制等奠定基礎。 -
As the core of the optical processor, optical vector - matrix multiplier ( vmm ) is a basic optical device of the optical computer
光學矢量-矩陣乘法器是光計算機中最基本的一種功能部件。 -
Lastly the above stiffness matrix, the nodal variables of which are the dual of stress functions, is replaced by a new one with simple displacements vector regarded as unknown. such finite element satisfies homogeneous equilibrium equations and can pass the patch test as long as the original plane elasticity element can pass the corresponding patch test
所得到的板彎曲單元在單元內部滿足齊次平衡方程，並且只要原始平面彈性單元能通過常應變分片試驗則轉換得到的板單元一定能通過常曲率分片試驗。 -
The vector product node named matrixmult uses a point matrix product operation to multiply those coordinates by the worldinversematrix of the sphere ' s shape node
那是，在球中心的一個點需要去返回一個0 ， 0 ， 0的數值，不管球在空間的哪個地方。 -
The implementation in this paper packs 4 cons 4 * 1 consecutive elements from a matrix column into a texel and thus performs a small number of 4 * 4 matrix by 4 * 1 vector products in a shader
每次從矩陣中取出4個元素放入一個到文理單元的一個元素中， 4 4的小規模矩陣乘法就轉變成了4 1的向量乘法。 -
The best scheme was chosen after analysis and comparing and the structure was designed. at same time, the kinematics analysis was conducted, coordinate transformation matrix using d - h method was set up, and the kinematics equation direct solution and inverse solution was deduced, the velocity jacobian matrix was constructed using vector product method, and the values of displacement and velocity of some special point including the wrist point were calculated. secondly, the working space of the robot was analyzed and the axes section of practical working space was drawn
首先，作者針對機器人的設計要求提出了多個方案，對其進行分析比較，選擇其中最優的方案進行了結構設計；同時進行了運動學分析，用d - h方法建立了坐標變換矩陣，推算了運動方程的正、逆解；用矢量積法推導了速度雅可比矩陣，並計算了包括腕點在內的一些點的位移和速度；然後藉助坐標變換矩陣進行工作空間分析，作出了實際工作空間的軸剖面。 -
Due to the moving base existence of the minehunting and the frame structure characteristic of the sonar array, a new modeling thought in which the boat body coordinates is regarded as moving coordinates and the whirligig equation of sonar array compared with the self coordinates is founded on the basis of the euler ' s theorem and the coordinate transform is introduced. the dynamic equations of minehunting sonar array with the state matrix form are founded by settling the dynamic models with the vector form. so it offers theory foundation for analyzing the dynamic characteristic and designing robust control
由於獵雷艇作為動基座的存在和聲納基陣的框架結構特點，提出了以艇體坐標系為運動坐標系，運用變形的歐拉定理和坐標變換建立聲納基陣相對自身坐標系的旋轉運動方程的建模思想；將所建立的矢量形式的動力學模型展開整理，獲得了狀態矩陣形式的獵雷聲納基陣動力學方程，為系統動力學模型的實用化奠定了基礎。 -
The dissertation has been divided into three part : the method of scalar fem for calculating the scattering and coupling character of 2d cavities ; the high efficient algorithm of vector fem for the scattering and coupling character of 3d cavities ; the method of calculate caliber admittance matrix for high efficient algorithm to compute the scattering and coupling character body with open cavities
全文分別研究標量有限元邊界積分求解二維腔體電磁散射與耦合的計算方法，矢量有限元邊界積分求解三維腔體電磁散射與耦合的計算方法，同時針對含腔目標的高效求解問題提出了口徑導納矩陣的新的計算方法，提高了計算效率。 -
3 gray factor analysis ? common factor model let random vector be written as common factors, they are unobservable random variables. s1, s2, . . sp are said to be specific factors. from ( i x ( ii ), the common factors are independent with each other, st only act on yi, the aij of matrix is called loading of factor, a = ( aij ) is called the loading matrix of factors ; because cov
二l一一一一一一一一一一一一一一一一一一一一一一一一一一一一一卜一一一一一一一一一一一一一一卜一一一一一一一一一一一一一一一一一一一一一一一一一一j刁日d乞口6刁a司701刁刁70刁19 o0 1 8031 01刁90320000刊20000z20m01圖123灰色因子分析今公因子模型假定隨機變量p二（ ，鄉… ， p倆足ypxl a l屍」 qq 。 -
The spectral analysis of non - orthogonal functions cannot be obtained by orthogonal integration method. only the spectral analysis of some particular non - orthogonal functions can be realized by integral transformation. thus, the concept of reflection matrix is proposed and the mirror symmetry of spectral analysis for non - orthogonal function is revealed. any element functions whose reflection matrix can be obtained possesses its inverse element function. the spectral vector corresponding to an element function possesses its inverse spectral vector corresponding to the inverse element function. by reflection matrix the mapping relation of element function pair and spectral vector pair can be established. spectral analysis of non - orthogonal functions can be obtained with this symmetry by using the integration method as in the case of orthogonal functions, instead of calculating the inverse matrix as usual. so a convenient and practical method for spectral analysis of non - orthogonal functions is offered
非正交函數不能利用正交積分來實現譜分解.僅有某些特殊的非正交函數可以通過積分變換實現譜分解.本文提出了反射陣的概念，揭示了非正交函數譜分析的鏡像對稱性.任何能夠建立起反射陣的元函數存在著它的逆元函數，並且任何基於該元函數的譜向量同時也存在著基於逆元函數的逆譜向量.元函數對與譜向量對通過反射陣建立映射關系.利用這種對稱性，非正交函數可以象正交函數一樣使用積分方法獲得譜分解結果，而不必使用求解逆陣的方法，從而為非正交函數的譜分解提供了便捷、實用的方法 -
Initial vector and iterating control in the solution to eigenvalue and eigenvector of a matrix by the matrix iterarion method
乘冪法求矩陣特徵向量與特徵值的初始向量及循環控制 -
And the basic two - dimensional transient state equations for semiconductor device are dispersed and linearized. the matrix - vector form of the basic functions is get. and the solution methods are also discussed
離散和線性化了二維瞬態半導體基本方程，並得到了其矩陣-矢量方程形式，同時還討論了其求解的方法。 -
Application component layer envelops the parallel algorithms of matrix - vector operation to offer users high - level interfaces ; the other three layers implement data abstraction 、 data partition and parallel mechanism respectively, and every layer has specific class and interface definition
其中應用組件層把矩陣向量運算的并行演算法封裝成類組件，為用戶提供了高層次的介面;另外三層分別實現數據抽象、數據劃分和并行機制支持三方面功能，每一層都有具體的類組件和明確的介面定義。 -
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。 -
Matrix and vector template classes are defined based upon object - oriented technology ( oot ). the conventional computation among matrix, vector and number is realized by overriding operators. according to the property of matrix, the scanty reserve way of object data is used, and the computation between matrixes with different reserve way is realized. the template classes is versatile, the program codes can be effectively reused, maintained and extended
基於面向對象技術定義了矩陣和矢量兩種模板類，利用運算符重載實現了矩陣、矢量和數之間的常規運算，對于具有不同特性的矩陣，採用了節省的貯存方式，並實現了不同貯存方式下矩陣相互之間的計算，表明所建立的模板類具有通用性，所開發的代碼可重復利用率高，而且易於維護和擴充。 -
At the same time, we test the validity of class components of application component layer, and prove they can implement the matrix - vector parallel
同時對應用組件層的類組件進行了正確性的測試，證明可以實現相應的向量矩陣并行演算法。 -
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。 -
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。 -
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。 -
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。
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