代码搜索：Multivariate Analysis
找到约 10,000 项符合「Multivariate Analysis」的源代码
代码结果 10,000
www.eeworm.com/read/430499/8741358
m data_discrete_analysis.m
clc;clear;
%--------------------------------------------------------------------------参数初始化
Species_Sum=6;%类别总数
Sample_Sum=37;%每一类中样本的个数，注每一类的样本数必须相等
Parameter_Sum=3;%表示样本的参数总数，也是特征向量的维数
A(1)
www.eeworm.com/read/283124/9041834
f90 dcd_analysis.f90
!===============================================================================
!
! Droits de reproduction et de diffusion r閟erv閟.
www.eeworm.com/read/283124/9041883
f90 mopac_analysis.f90
!===============================================================================
!
! Droits de reproduction et de diffusion r閟erv閟.
www.eeworm.com/read/184769/9079092
c cairo-analysis-surface.c
/*
* Copyright © 2006 Keith Packard
*
* This library is free software; you can redistribute it and/or
* modify it either under the terms of the GNU Lesser General Public
* License version 2.1 as
www.eeworm.com/read/282288/9105845
input-algo-modal-analysis
/* [a] : Parameters for Modal Analysis and embedded Newmark Integration */
no_eigen = 2;
dt = 0.03 sec;
nsteps = 200;
beta = 0.25;
gamma = 0.50;
/* [b] : Form Mass and
www.eeworm.com/read/282286/9106157
input-algo-modal-analysis
/* [a] : Parameters for Modal Analysis and embedded Newmark Integration */
no_eigen = 2;
dt = 0.03 sec;
nsteps = 200;
beta = 0.25;
gamma = 0.50;
/* [b] : Form Mass and
www.eeworm.com/read/381118/9109051
m numerical_analysis1.m
clear;
n=1000;
k=400;
H=hilb(n);
%Get A5----------------------------------------
d0=diag(H);
d1=diag(H,-1);
d2=diag(H,1);
d3=diag(H,-2);
d4=diag(H,2);
A3=diag(d0)+diag(d1,-1)+diag(d2,1);
A5=diag(d0)+
www.eeworm.com/read/380974/9118453
pdf smb_protocol_analysis.pdf
www.eeworm.com/read/380972/9118469
pdf samba_netbios_analysis.pdf
www.eeworm.com/read/375399/9361885
m analysis_filters4.m
function [h0_coeff, h1_coeff] = analysis_filters4(A1, A2, A3, A4, x, xn, M)
% compute the analysis filters from four lifting filters
% Copyright (c) 2006 Yi Chen
[a1_up, td] = upsampling_2d(doubl