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Description: 用乔里斯基(cholesky)算法求解对称正定方程组。- (cholesky) the algorithm solves symmetrically with the tall
Reese base is deciding the system of equations.
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Size: 24523 |
Author: lkz |
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Description: cholesky算法，解三对角矩阵的常用方法-cholesky algorithm, and three diagonal matrix method used
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Size: 956 |
Author: 邹璇 |
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Description: 该程序是正定矩阵的Cholesky分解实例，Cholesky是矩阵分解常用的方法
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Size: 43574 |
Author: kexing |
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Description: cholesky decomposition for dsp c6
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Size: 383161 |
Author: 胡波 |
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Description: cholesky算法，解三对角矩阵的-cholesky algorithm, and three diagonal matrix
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Size: 956 |
Author: 黎元凯 |
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Description: 用matlab编写的cholesky分解程序，希望对大家有些帮助
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Size: 1682 |
Author: mylifeforwar |
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Description: 矩阵的转置、行列式、秩，逆矩阵求法，矩阵的三角分解、qr分解，对称正定矩阵的乔里斯基分解及行列式值，奇异值分解，广义逆的奇异值分解，矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition and determinant value based on symmetry positive definite matrix, decomposition of singular value, decomposition of generalized inversal singular value, eigenvalue and eigenvector
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Size: 82944 |
Author: 球球 |
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Description:
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Size: 24576 |
Author: lkz |
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Description: 用改进的乔里斯基方法解对称正定方程组，已被用于有限元正演模拟-Jiaolishiji Improved method for symmetric positive definite equations, have been used in finite element simulation FORWARD
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Size: 1024 |
Author: 刘海飞 |
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Description: 用VB实现线性方程组的求解。包括：高斯消元法，LU分解法追赶法，迭代法，奇异值分解，乔累斯基分解法等12种数值方法。-VB of linear equations to solve. Including : Gaussian Elimination Act, the law catch up with the LU decomposition, iterative method, singular value decomposition, Joe Cholesky decomposition 12 species of numerical methods.
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Size: 7168 |
Author: 李春波 |
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Description: 解线性方程的直接法:Gauss消去法、矩阵的三角分解、正定矩阵的Cholesky分解、矩阵求逆等。
注释见程序-solution of linear equations of the direct method : Gauss elimination method, the triangular matrix decomposition, Zhengding Cholesky decomposition of the matrix, such as matrix inversion. See Notes procedures
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Size: 23552 |
Author: 周思良 |
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Description: 平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies:
(1) U U = X
(2) U is upper triangular (that is, it has all zeros below the diagonal).
It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive definite which guarantees the existence of such kind of decomposition.
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Size: 2048 |
Author: self |
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Description: 程序简单实现了对稀疏矩阵进行incomplete Cholesky分解的功能，具有一定参考价值。-simple realization of the sparse matrix incomplete Cholesky decomposition of success can have a certain value.
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Size: 32768 |
Author: 易江灯 |
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Description: 基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
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Size: 84992 |
Author: 四度 |
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Description: Cholesky分解的演示，程序内含说明，本人原创-Cholesky decomposition of the demonstration, the program includes instructions, my original
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Size: 1024 |
Author: huyunq |
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Description: 用Cholesky分解方法解线性方程组的过程演示，本人原创，测试无误，内含详细注释。 -With the Cholesky decomposition method to solve linear equations demonstrate the process, my original test and correct, containing detailed notes.
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Size: 2048 |
Author: huyunq |
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Description: 用Cholesky 分解法解方程组Ax=b-Cholesky
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Size: 3072 |
Author: zhou kaner |
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Description: cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式，可运用于回归系数求解，线性方程组求解中
逐步回归是在回归分析的建模过程中用于变量筛选的有效方法，这里同时进行了向前和向后回归，效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix product, which can be used to solve the regression coefficients and solve the linear equations.
Stepwise regression is an effective method for variable selection in the modeling process of regression analysis. The effect of both forward and backward regression is more significant at the same time.)
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Size: 3072 |
Author: qinglili
|
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Description: 简单实现对高光谱图像进行cholesky分解。(Simple implementation of Cholesky decomposition)
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Size: 82267136 |
Author: _exe
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Description: 数值分析上的cholesky分解，用于求解对称正定矩阵的线性方程组(the matrix cholesky-decompose)
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Size: 171008 |
Author: 开口的猫 |
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