gauss seidel method 中文意思是什麼

gauss seidel method 解釋
高斯 賽德爾法
  • gauss : n. 【物理學】高斯〈磁感應強度單位，磁通量密度單位〉。 gauss's system of unit 高斯單位制。n. -age 高斯數。
  • seidel : n. （pl. seidel（s）） 大啤酒杯〈有時指連蓋大啤酒杯〉。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. The application of gauss - seidel technique in an iterative method

    技巧在一個迭代法中的應用
  2. And then we bring forward an approach to get the probability of steady - state based on gauss - seidel method and dynamic row - column techniques for the application of simulation in safety " analysis, sampling techniques for sparse events are discussed, and importance sampling method is brought forward to increase sampling efficiency

    論文提出了基於gauss - seidel方法與動態行列技術的分析方法。在模擬方面，主要探討了安全性定量分析中稀有事件問題的抽樣技術，並提出採用重要性抽樣法，以提高抽樣效率。
  3. Based on the navier - stockes equation, the finite difference method was applied to variance the simplified n - s equation on cylindrical coordinate system. then, 3 - d model of the spiral flow locally generated in circular pipe with steady and axial - symmetry condition was founded. the ordinary iterative method of gauss - seidel was induced

    太原理工大學碩士學位論文本文以局部起旋條件下的圓管螺旋流為模擬對象，從以速度和壓強為自變量的微分方程一navier一5tokes方程出發，利用有限差分法對柱坐標系下簡化后的n一s方程進行離散，建立定常的、軸對稱的三維計算模型。
  4. A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases

    建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。
  5. In this paper, we consider the optimal parameter vector a of the modified incomplete gauss _ seidel method ( migs ). we prove that the spectral radius function of the iterative matrix t of migs with parameter vector is strictly monotonic decreasing with respect to a satisfying 0 e if the classical gauss _ seidel method converges for a z _ matrix. some properties of the left and right eigenvectors corresponding to the largest eigenvalue in modulus are given, too. these results are useful to find an optimal parameter for migs

    目前主要的方法有兩類：一是充分利用所給矩陣a的特點，採用適當的主元素選取策略，使分解出的因子盡可能地保持稀疏性；二是迭代法。對于第二種方法，迭代矩陣的選取具有決定作用。只有選取的迭代矩陣的譜半徑小於1才能保證迭代法收斂。
  6. In chapter 3, gauss - seidel iterative method is discussed. if the sylvester equation coefficient matrices a, b are non - singular m - matrix, we use a splitting - up method which has a parameter in chapter 4

    在第四章，對于系數矩陣a ， b是非奇m陣的情況，本文將一種帶參數的分裂演算法應用於求解sylvester方程。
  7. In chapter 4, some examples are given to illustrate that the convergence of saor - al - pcg method is better than the classical iterative method ( such as jacobi. gauss ? seidel. sor ) and the traditional cg method as well as ssor - pcg

    第四章用實例證明了這種預條件共軛梯度法的收斂速度比古典的迭代法（如jacobi ， gs ， sor ）和傳統的cg以及ssor - pcg要快一些。
  8. In order to calculate asynchronous motor ' s mater temperature accurately, a mesh on the calculation area in the stator was made at first, builded the area ' s thermal network mathematics model secondly, used the gauss - seidel iterative method to calculate the mathematics model finally

    摘要為準確計算定子溫升，對計算區域進行了合理的網格剖分，建立了異步電機定子的熱網路數學模型，採用高斯賽德爾迭代法對模型進行了求解。
  9. An implicit lu - sgs ( lower - symmetric gauss - seidel ) finite - volume method is used for solving the full, compressible, two - dimensional navier - stokes and species transport equations. for turbulence closure a two equation ( k - e ) model is used. the combustion process in chemical nonequilibrium is modeled by a 7 - species, 8 - reaction steps finite - rate chemistry and is implicitly coupled with the fluid motion

    採用lu - sgs有限體積法求解了包括兩方程（ - ）湍流模型和7組元8方程有限速率化學反應模型的緊耦合二維n - s方程，數值模擬了氫燃料在燃燒室內的化學非平衡燃燒過程。
  10. The explicit method is widely used for its simpleness and little memory consumed with local time step and variable coefficients implicit residual smooth to accelerate the convergence procedure. according to yoon and jameson ' s ideas, an efficient implicit lu - sgs algorithm is carefully constructed by combing the advantages of lu factorization and symmetric - gauss - seidel technique in such a way to make use the l and u operators scalar diagonal matrices, thus the numeric algorithm requires only scalar inversion. the computational efficiency is greatly improved with this scheme

    顯式方法具有簡單，消耗內存小等優點，並採用當地時間步長、變系數隱式殘值光順等加速收斂措施，在定常流動的模擬中得到了廣泛的應用;根據yoon和jameson提出的簡化正、負矩陣分裂，構造的l 、 u運算元只需進行標量對角陣求逆，極大提高了流場數值求解過程的計算效率;採用newton類型的偽時間子迭代技術使時間推進精度提高至二階。
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