sparse matrix 中文意思是什麼
sparse matrix
解釋
稀疏矩陣-
This paper introduces the basic idea and algorithm of sparse matrix multiplication by using incompact storage method
摘要介紹了對稀疏矩陣進行壓縮存儲時，稀疏矩陣相乘運算的基本思想和演算法。 -
The procedure based on the sparse network admittance matrix allocates the transmission losses to all participants of power exchanging
這種方法以網路稀疏導納矩陣為基礎，將網損合理分攤給功率交換者。 -
Second, this paper studied the core technologies for developing the cae system for construction curtain wall, such as sparse matrix storage and processor for fea, parametric design and engineering modeling and so on
然後針對建築幕墻結構計算機輔助工程系統所涉及的與有限元分析相關的稀疏矩陣存儲及求解技術、系統參數化設計技術以及工程建模技術等關鍵技術進行了較深入的研究。 -
This problem arises from the circuit layout of vlsi designs, interconnection networks, sparse matrix computations, error - correcting code designs, data structures, biology, etc, which has extensive backgrounds
圖的嵌入問題是從稀疏矩陣的計算、數據結構、 vlsi電子線路設計和分子生物學等問題中提取出來的數學模型，有著廣泛的應用背景。 -
For more on improving sparse matrix algorithms, read fast and effective algorithms for graph partitioning and sparse - matrix ordering
如果您想了解更多關于提高稀疏矩陣演算法的信息，請閱讀 -
Adams solves the model by adopting lagrange dynamics equation and complementing with rigidity integ - ral algorithm and sparse matrix technology
Adams採用拉格朗日動力學方程，輔以剛性積分演算法以及稀疏矩陣技術來求解模型。 -
Matrix variation basis of sparse matrix multiplication
矩陣相乘的壓縮存儲演算法 -
The sparse matrix canonical grid ( smcg ) method is a numerical method that was developed recently
稀疏矩陣規則網格法（ smcg ）是近年來才被提出的一種數值方法。 -
Simulation research of three phase sparse matrix converter
三相稀疏矩陣變換器模擬研究 -
Design and implementation of a data distributor for multidimensional parallel sparse matrix on distributed - memory computing environments
分散式記憶體環境下多維度平行稀疏矩陣資料分配器之研發。 -
The investigation is very useful not only in further improving the sparse matrix canonical grid method for quickly analyzing electromagnetic scattering of complicated random scatterers, but also in improving the technology of remote sensing, investigating land mine detection and analyzing densely packed interconnects
本文的研究進一步改進了smcg方法，使smcg方法的計算效率得到了提高，為快速分析各種復雜的隨機分佈目標的電磁散射問題奠定了基礎，為遙感技術的發展、電磁探礦的研究以及電路互聯封裝的分析提供了理論指導。 -
In the computation procedure of the above problems, efficient algorithms to perform sparse matrix were applied to saving computer memory units and cpu time. the conjugate gradient method and biconjugate gradient method were applied to solve the sparse systems of generated linear equations
為了減少計算機內存的需求和有效提高計算速度，本文在分析計算各類目標的電磁散射和輻射問題時，採用稀疏矩陣的存儲和壓縮技術，並運用共扼梯度和雙共轆梯度等方法求解線性方程組。 -
Today, oop and com technique is used widely in software area. in this paper, on the basis of nonlinear transient electromagnetic field analysis, oop technique is applied to build the basic class library of machine, and the store of large sparse matrix was combined with related algorithm closely, which save the cpu time obviously
目前面向對象編程技術（ oop ）和組件技術（ com ）已在軟體領域得到廣泛應用，本文在進行非線性瞬態電磁場理論分析的基礎上，採用oop技術，進行了電機求解的基本類庫的構建，將大型稀疏矩陣的存儲與有關演算法緊密耦合，顯著提高了運算速度，並形成了用於求解非線性瞬態電磁場的軟體包。 -
A parallel algorithm for solving large sparse matrix equations and its application to parallel power flow calculation
求解大型稀疏線性方程組的一種并行演算法及其在并行潮流計算中的應用 -
When the instruction of division is applied associate with technology of sparse matrix, the efficiency of the software is the best
當結合稀疏存儲技術運用除法指令求解時，軟體的計算速度明顯優于其它兩種求解方案。 -
4 ) a sparse matrix based on multi - resolution analysis for signal decomposition was introduced. a compression method for arbitrarily long data on chemical process was developed then. the relative error of decompression data is still acceptably small enough and the compression ratio is large enough when the method was applied to the compression decompression manipulation of historical data on chemical process
浙江大學博士學位論文4 ）利用小波的多解析度分析特點，推出了一個用於信號多解析度分解的稀疏矩陣，在此基礎上給出了一種可對任意長度數據進行壓縮的方法，並對化工過程的歷史數據進行數據壓縮和還原，壓縮后的解壓縮數據仍保持較小的相對誤差，並得到了較大的壓縮比。 -
In the yield data acquire multi - line geometric in a radial pattern is adopted. before theoretical explanations about the non - uniqueness of inversions and the necessity of constrains are illustrated, the description of linear travel - time interpolation ( lti ) calculations, the derivation of jacobian linear equations, and the deductions of solving large sparse matrix equations, i. e. the lsqr iterations, are involved. in order to cope with the uncertainties in tomography, we reach several categories on constraint methods
對於野外數據採集採用多測線上放射狀布置檢波器；圍繞層析成像方法，文章分析了線性差值射線追蹤lti技術，推導出在矩形網格內速度以雙線性關系變化時方程組的解析式，進一步詳細探討方程組的求解方法，即最小平方正交分解法，並給出了迭代公式。 -
Design and implement new techniques of data compression, data distribution, and compressed schemetransformation for parallel multi - dimensional sparse matrix on distributed - memory computing environments
分散式記憶體環境下多維度平行稀疏矩陣資料壓縮、分配與壓縮轉換新技術之研發。 -
Then three schemes of the preconditioned sparse matrix canonical grid ( p - smcg ) method are presented and discussed. the sparse matrix canonical grid method is applied to analyze electromagnetic scattering from three - dimensional random dielectric scatterers in conjunction with the generalized minimal residual ( gmres ) method. in the end, these four schemes are applied to analyze electromagnetic scattering from three - dimensional random dielectric scatterers
論文首先運用smcg方法對隨機分佈三維介質目標的電磁散射問題進行較為全面的分析和討論，然後討論了如何對smcg方法進行預處理，提出了預處理smcg方法的三種方案，接下來又討論了將smcg方法和廣義最小余數法（ gmres ）結合起來的方案，最後應用上面提出的四種方案對多個隨機分佈三維介質目標的電磁散射問題進行了分析。 -
In this paper, we apply adi and high - order compact finite difference method for large - scale asymmetric sparse matrix in semiconductor device simulation
摘要採用adi與高階緊致差分相結合的方法計算大型非對稱稀疏矩陣，並實現了該演算法在半導體器件模擬中的應用。
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