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cholesky323232
- 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:
Cholesky
- 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.
New
- 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
cholesky
- 平方根法程序 输入变量为一个n阶正定矩阵A，输出的结果为下三角矩阵L-Square root law procedures
cholesky
- Cholesky分解是一种分解矩阵的方法, 在线形代数中有重要的应用。Cholesky分解把矩阵分解为一个下三角矩阵以及它的共轭转置矩阵的乘积（那实数界来类比的话，此分解就好像求平方根）。与一般的矩阵分解求解方程的方法比较，Cholesky分解效率很高-Cholesky decomposition is a kind of decomposition of matrix method, the linear algebra has an important application. Choles
ACHOL
- C的正定矩阵计算，主要用于求解对称正定方程组的平方根，利用的是乔里斯基分解法求解系数矩阵为对称正定。-C positive definite matrix calculation, mainly used to solve the equations of symmetric positive definite square root, and use of the Cholesky decomposition method for solving the coefficient matrix
Latin-Hypercube-Sampling
- 此源码会产生一个平方空间上随机的领域。样品创建拉丁超立方抽样和空间相关性是基于Cholesky分解算法-This source will generate a random field on a square space. Samples to create a Latin Hypercube Sampling and spatial correlation is based on the Cholesky decomposition algorithm
ACHOL0
- 用乔里斯基分解法(即平方根法)求解系数矩阵为对称正定、且右端具有多组常数向量的线性代数方程组AX=D-Using Cholesky decomposition method (ie, square root method) for solving the coefficient matrix is symmetric positive definite, and the right end of the constant vector with multiple gr
Cholesky-decomposition
- 实对称正定矩阵的 的Cholesky分解.用平方根法和改进的平方根方法求解线性方程组 Ax=b. -Real symmetric positive definite matrix of the Cholesky decomposition method and improved by the square root of the square root method for solving linear equations Ax = b.
pitch_estimator
- probably some 0.5 factors can be eliminated, and the square-roots can be removed the Cholesky fact. -probably some 0.5 factors can be eliminated, and the square-roots can be removed the Cholesky fact.
Cholesky
- 数值分析，改进平方根法求解高阶线性方程组-Numerical Analysis, Improved Square Root Method for Solving Linear Equations of Higher Order