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Search - overdetermined - List

[Algorithm] LeastMeanSquare DL : 0: 最小二乘法求超定线性方程组得C＋＋模板，还包括矩阵求逆，矩阵乘法等小函数-Overdetermined least-squares method of linear equations have to C templates, also includes matrix inversion, matrix multiplication, such as small function
Date : 2025-12-30 Size : 2kb User : xiao guilin
[Algorithm] goodsolutionofoverdeterminedequationsalgorithm DL : 0: 一个好的解超定方程组算法，由C++实现，下载完直接可以使用，是我在做项目实施用到的-A good solution of overdetermined equations algorithm, from the C++ implementation can be downloaded directly to use, is what I used to do the project implementation
Date : 2025-12-30 Size : 1kb User : wen33
[Algorithm] super_matrix DL : 1: 利用最小二乘法求解超定方程的矩阵解法，用matlab编写。-The least square method for solving overdetermined matrix equation solution, prepared with matlab
Date : 2025-12-30 Size : 1kb User : lancelot
[Algorithm] SVD DL : 0: 最小二乘估值的SVD分解计算方法，本程序可将最小二乘估值问题转化为超定方程组的问题处理，且可用奇异值分解的方法计算最小二乘问题。-Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated singular value decomposition least squares problem.
Date : 2025-12-30 Size : 1kb User : o0cmzx0o
[Algorithm] data_nihe DL : 0: 曲线拟合的最小二乘法要解决的问题，实际上就是求以下超定方程组的最小二乘解的问题。-Least squares curve fitting to solve the problem, in fact, find the following overdetermined least squares solution for the problem group.
Date : 2025-12-30 Size : 296kb User : zjs
[Algorithm] LM-algorithm DL : 1: 用LM算法解超定方程，未用到库，都是自己写的函数，有例子-With the LM algorithm for solving overdetermined equation, unused libraries, are writing their own functions, there are examples
Date : 2025-12-30 Size : 8kb User : 木木
[Algorithm] gen_inverse-matrix--non_-eqs- DL : 0: 本程序为利用广义逆矩阵法求解朝顶非线性方程组，里面调用了其他三个函数，非别为一般实矩阵的奇异值分解、奇异值分解求一般实矩阵的逆矩阵、广义逆矩阵法求线性超定方程组。-The procedure for the use of generalized inverse matrix method for solving nonlinear equations toward the top, which calls the other three functions, not as a general real matrix non-singular value decomposition, singular value decomposition seeking general real matrix inverse, generalized inverse matrix method of linear overdetermined equations.
Date : 2025-12-30 Size : 4kb User : RTQ
[Algorithm] ma20-1.0.0.tar DL : 0: Solves overdetermined system of equations
Date : 2025-12-30 Size : 106kb User : tmcmashsala
[Algorithm] solving-equations- DL : 0: matlab 解方程组，超定方程组，微分方程组，偏微分-matlab solutions of equations, overdetermined equations, differential equations, partial differential
Date : 2025-12-30 Size : 22kb User : 周预
[Algorithm] Jingxiangyingshe DL : 0: 在参数辨识中，利用镜像映射法求解超定方程组-In the parameter identification, the use of image mapping method to solve the overdetermined system of equations
Date : 2025-12-30 Size : 2kb User : zjr
[Algorithm] chaoding DL : 0: 在矩阵规模很大时，使用正规方程组求解超定方程计算量很大，因此使用QR分解求解超定方程组-In a large matrix size, the use of formal solving equations overdetermined equation to calculate the amount of large, so using QR decomposition for solving overdetermined equations
Date : 2025-12-30 Size : 1kb User : xuan
[Algorithm] Kaczmarz_Algorithm DL : 0: Kaczmarz_Algorithm算法迭代求解方程，适用于欠定和超定方程组(Kaczmarz_Algorithm. Iterative solution of equations is applicable to underdetermined and overdetermined equations.)
Date : 2025-12-30 Size : 2kb User : R__Z
[Algorithm] work DL : 1: 解方程数量大于未知数数量的超定方程matlab代码(a matlab code to sovle the overdetermined equation set)
Date : 2025-12-30 Size : 1kb User : 薰0001
[Algorithm] Algoritm Gausa-Nutona DL : 0: The Gauss–Newton algorithm is used to solve non-linear least squares problems, which is equivalent to minimizing a sum of squared function values. It is an extension of Newton's method for finding a minimum of a non-linear function. Since a sum of squares must be nonnegative, the algorithm can be viewed as using Newton's method to iteratively approximate zeroes of the components of the sum, and thus minimizing the sum. In this sense, the algorithm is also an effective method for solving overdetermined systems of equations. It has the advantage that second derivatives, which can be challenging to compute, are not required.
Date : 2023-12-29 Size : 2.82kb User : nechaev_V