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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: 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: 1441 |
Author: 刘海飞 |
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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: 1024 |
Author: 邹璇 |
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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: 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: 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-The procedure is the Cholesky decomposition of positive definite matrix example, Cholesky matrix decomposition is a commonly used method
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Size: 43008 |
Author: kexing |
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Description: Cholesky分解 Matlab程序 关于科学计算方法-Cholesky decomposition of Matlab procedures on scientific calculation method
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Size: 1024 |
Author: 王文浩 |
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Description: 这是 对矩阵Cholesky分解 的一种方法的源代码.-This is the Cholesky decomposition matrix of a method
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Size: 1024 |
Author: s |
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Description: 利用平方根法（Cholesky法）求超定方程组的最小二乘解-Use the square root method (Cholesky method) for over-determined least squares solution of equations
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Size: 7168 |
Author: Edison |
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Description: Cholesky分解的C语言程序,当年的大学作业程序-C source code for Cholesky Method
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Size: 1024 |
Author: Jason |
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Description: Cholesky分解法求取线性方程组的解。也叫做平方根法。CPP程序。-Cholesky decomposition method to strike a solution of linear equations. Also known as the square root law. CPP procedures.
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Size: 19456 |
Author: 宫同举 |
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Description: 采用乔克利特方法解方程，采用高斯消去法解方程-Qiaokelite method to solve the equation by using Gaussian elimination solution equation
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Size: 1024 |
Author: 卓迅佳 |
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Description: Cholesky Method. Solutions included.
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Size: 3072 |
Author: Kuraido |
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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法解最小二乘法，矩阵三角分解-Cholesky method for the least squares method, the matrix triangular decomposition
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Size: 589824 |
Author: 何巧 |
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Description: CHOLESKY method using C-CHOLESKY method using C++
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Size: 1024 |
Author: harikiran86 |
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Description: 半正定矩阵cholesky方法将其分解为两个上下三角矩阵相乘的形式。matlab自带的函数只能分解正定矩阵。并且给出例子。-Semi-definite matrix cholesky method be decomposed into two upper and lower triangular matrices form. matlab built-in function can only be positive definite matrix decomposition.
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Size: 14336 |
Author: 王潘 |
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Description: 利用楚列斯基分解法和平方根法分解对称矩阵，较为实用-use the Cholesky method and esquare-root method to solve the problem of Triangle decomposition of matrix
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Size: 1024 |
Author: zhaojing |
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Description: cholesky method in matlab
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Size: 1024 |
Author: Mustafa Hameed |
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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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