搜索资源列表
递推最小二乘估计算法
- 对于输入、输出数据较多的情况下，一次性完成的最小二乘估计算法计算量很大，速度降低而且有可能出现病态矩阵的情况，递推的最小二乘估计算法解决了上述问题。
CG.rar
- 求解大规模对称矩阵的CG算法，及预处理PCG使用Matlab语言，可以解1000阶以上的矩阵，以病态矩阵hilbert为例,Solving large-scale symmetric matrix of the CG algorithm, and pretreatment of PCG using Matlab language, you can order more than 1,000 solution matrix, as an example to pathological matrix
Jacobi
- 雅克比迭代法 求Hilbert矩阵病态方程组-Iterative Method Jacobian matrix pathological Hilbert equations
jacobi
- 利用jacobi法求解病态线性方程，其中矩阵为hilbort矩阵-Jacobi method used to solve ill-linear equations, including matrix hilbort matrix
bing_tai_juzhen_chuli
- 病态矩阵分析 多角度阐明什么是病态矩阵 并且采用了正交化的处理来解病态矩阵-Pathological matrix multi-angle matrix and to clarify what is ill treatment by the orthogonal matrix to solve ill
regu
- 反问题求解中解决病态矩阵问题的正则化算法。-Solving the inverse problem regularization algorithm
ols-(1)
- 正交最小二乘求解病态矩阵问题-ols method to solve
6
- 计算方法hibbert矩阵程序,计算方法上机时间第六题 关于病态矩阵的-Matrix calculation procedures hibbert
GeneticAlgorithm
- 遗传基因算法解病态矩阵，是一种借鉴生物界自然选择和进化机制发展起来的高度并行、随机、自适应搜索算法-Genetic algorithm solution, morbid matrix is a kind of reference for biological mechanism of natural selection and evolution of highly parallel, randomized, adaptive search algorithm
vel_Tikhonov
- tikhonov求解，正则化参数为0.1，应用svd分解，求解病态矩阵的解。(Tikhonov solution, regularization parameter is 0.1, using SVD decomposition to solve the ill-conditioned matrix solution.)
正则化方法
- 在进行矩阵求逆等计算时遇到矩阵条件数较大导致病态时，常用的各种解决病态方程方法(In the calculation of matrix inversion, when the number of matrix conditions is large, which leads to ill condition, various common methods to solve ill condition equation are used)