Description: RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中很常见的评价标准，通过Jacobi变换来的到一个大分子和目标分子的相似程度。常用来评价一个三维结构的预测结果是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/
压缩包里的html里还包括有Python代码-RMSD : Root Mean Square Deviation is a molecular simulation and forecasting very common assessment standard price, Jacobi's transformation to a macromolecular target molecule and the degree of similarity. Commonly used to evaluate a three-dimensional structure of the predicted results accurate enough. Author Home http : / / dillgroup.ucsf.edu / ~ bosco / html compression of the bundle also contain including a Python code Platform: |
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Description: RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中很常见的评价标准，通过Jacobi变换来的到一个大分子和目标分子的相似程度。常用来评价一个三维结构的预测结果是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/
压缩包里的html里还包括有Python代码-RMSD : Root Mean Square Deviation is a molecular simulation and forecasting very common assessment standard price, Jacobi's transformation to a macromolecular target molecule and the degree of similarity. Commonly used to evaluate a three-dimensional structure of the predicted results accurate enough. Author Home http :// dillgroup.ucsf.edu/~ bosco/html compression of the bundle also contain including a Python code Platform: |
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Description: Jacobi 方法，利用平面旋转矩阵所构成的正交相似变换将对 对称矩阵化为对角型的方法-Jacobi method, the use of planar rotation matrix by orthogonal similarity transformation consisting of the symmetric matrix into a diagonal-based method Platform: |
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Author:赵亮 |
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Description: 用c语言编写的产生正态随机数的源代码:
算法一产生12个（0，1）平均分布的随机函数，用大数定理可以模拟出正态分布。
算法二用到了数学中的雅可比变换，直接生成正态分布，但此算法在计算很大规模的数时
会出现溢出错误。-With the c language normal random number generation source code: Algorithm 1 produces 12 (0,1) the average distribution of the random function, with large numbers theorem can be simulated normal distribution. Mathematical algorithms used in the two Jacobi transformation, directly generate a normal distribution, but this algorithm is very large in the calculation occurs when the number of overflow error. Platform: |
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Description: jacob行列式的源代码。随机矩阵之间变换的Jacobi行列式的计算,常规方法就是求出变换的行列式的元素再求行列式值。-jacob determinant of the source code. Random Matrix transformations between the Jacobi determinant, conventional way is to find the elements of the determinant of transformation and then the determinant of the value of demand. Platform: |
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Description: The Jacobi method consists of a sequence of orthogonal similarity transformations of the form of equation. Each transformation (a Jacobi rotation) is just a plane rotation designed to annihilate one of the off-diagonal matrix elements. Platform: |
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Description: A: aij, 1<= i,j<=n
b: 1<=i<=n
x0: intial guess, 1<=i<=n
tol: tolerance
N maximum number of iterations
k: number count of iteration
Xm(:,k): X in each k iteration-Jacobi s method:
In numerical linear algebra, the Jacobi method is an algorithm for determining the solutions of a system of linear equations with largest absolute values in each row and column dominated by the diagonal element. Each diagonal element is solved for, and an approximate value plugged in. The process is then iterated until it converges. This algorithm is a stripped-down version of the Jacobi transformation method of matrix diagonalization. The method is named after German mathematician Carl Gustav Jakob Jacobi.
http://en.wikipedia.org/wiki/Jacobi_method Platform: |
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Description: RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中非常常见的评价标准，通过Jacobi变换来的到一个大分子与目标分子的相似程度度。常用来评价一个三维结构的预测结果是是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/压缩包里的html里还包含有Python代码
-RMSD: Root Mean Square Deviation is very common in molecular modeling and forecasting evaluation criteria, the degree of similarity degree of the Jacobi transformation to a macromolecular target molecules. Commonly used to evaluate the results are sufficiently accurate prediction of a three-dimensional structure of the Home http://dillgroup.ucsf.edu/ ~ bosco/compression bag the html also contain Python code Platform: |
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Description: jocobi algorithm. In numerical linear algebra, the Jacobi method is an algorithm for determining the solutions of a system of linear equations with largest absolute values in each row and column dominated by the diagonal element. Each diagonal element is solved for, and an approximate value plugged in. The process is then iterated until it converges. This algorithm is a stripped-down version of the Jacobi transformation method of matrix diagonalization. The method is named after German mathematician Carl Gustav Jakob Jacobi. Platform: |
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Description: 矩阵特征值与特征向量的计算 幂法与反幂法 原点移位加速法 幂法的艾特肯加速 雅克比方法 QR方法 豪斯霍尔德变换 拟上三角形矩阵的QR分解-Matrix eigenvalue and eigenvector calculation： power method and inverse power method,origin shift power law Aitken acceleration method, Jacobi method,Householder’s Method, QR method, proposed transformation matrix QR decomposition on the triangle Platform: |
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Description: In numerical linear algebra, the Jacobi method (or Jacobi iterative method[1]) is an algorithm for determining the solutions of a diagonally dominant system of linear equations. Each diagonal element is solved for, and an approximate value is plugged in. The process is then iterated until it converges. This algorithm is a stripped-down version of the Jacobi transformation method of matrix diagonalization. The method is named after Carl Gustav Jacob Jacobi. Platform: |
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Description: RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中很常见的评价标准，通过Jacobi变换来的到一个大分子和目标分子的相似程度。常用来评价一个三维结构的(Root Mean Square Deviation is a molecular simulation and forecasting very common assessment standard price, Jacobi's transformation to a macromolecular target molecule and the degree of similarity.) Platform: |
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Search - Jacobi Transformation