搜索资源列表
ARPACK
- a library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command
LMS
- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1
aeigs60
- 特征结构配置方法（个人），希望对大家有帮助！-EIGS Find a few eigenvalues and eigenvectors of a matrix using ARPACK
schrodinger
- 简单实用matlab中自带eigs函数来解决薛定谔方程，程序简单易用，正确率高，且所得波函数与解析解一样-matlab program for solving schrodinger equation
arioarpackage
- library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command-library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the buil
eigs
- 计算矩阵特征值的各类算法，计算矩阵特征值的各类算法-Calculate the various matrix eigenvalue algorithms
eigs1
- eigs是目前为止最快速的计算部分特征值的算法，Matlab已经不提供该源代码，这是eigs源代码，供研究者改进提高！ 调用：A=rand(500), eigs1(A)-eigs is the most effective eigensolver, which is very important.
PCR
- 多变量Y的主成分回归。 格式: [t,p,b,ssq,eigs] = pcr(x,y,pc)- PCR Principal components regression for multivariate y.The I/O format is: [t,p,b,ssq,eigs] = pcr(x,y,pc)