代码搜索：Beta值
找到约 10,000 项符合「Beta值」的源代码
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www.eeworm.com/read/469645/6972595
asv structequation2.asv
%———————————————————————————————————————————————-%
% 程序用于求解结构方程中拟合函数的优化问题。对应不同的模型，需要设置不同参数，方法如下： %
% 1、初始点：根据数据及模型，我们采用pls获取初始点 %
% 2、根据模型确定未知估计参 ...
www.eeworm.com/read/201151/7149349
m my_predictstates3.m
function x_predict =my_predictstates3(F,x_samples,Q,numSamples);
% PURPOSE : Performs the prediction step of the sequential SIR algorithm for
% : the model described in the file sirdemo1.m.
%
www.eeworm.com/read/461781/7220635
m l_b_h_kaiser.m
clear all;
wb=0.317*pi;ws=0.272*pi;wa=0.136*pi;As=65;
tr_width=wb-ws; %计算过渡带宽
N=(ceil((As-7.95)*2*pi/(14.36*tr_width)+1))/2; %计算凯泽窗的长度
disp(['窗函数的长度为',num2str(N)]); %在Matlab命令窗口显示N的数值
beta=0
www.eeworm.com/read/455746/7366450
m hessigpd.m
function c=hessigpd(func,x,excess),
ep=0.0001;
eps=ep*x;
n=length(x);
m=zeros(n,n);
for i=1:n,
for j=1:n,
x1=x;
x1(i)=x1(i)+eps(i);
x1(j)=x1(j)+eps(j);
x2
www.eeworm.com/read/455746/7366452
m hessi.m
function c=hessi(func,x,excess),
ep=0.0001;
eps=ep*x;
n=length(x);
m=zeros(n,n);
for i=1:n,
for j=1:n,
x1=x;
x1(i)=x1(i)+eps(i);
x1(j)=x1(j)+eps(j);
x2=x;
www.eeworm.com/read/449504/7502993
m sem_gmmd.m
% PURPOSE: An example of using sem_gmm
% GM estimation of spatial error model (on a small data set)
%
%---------------------------------------------------
% US
www.eeworm.com/read/449504/7503000
m sar_gmmd.m
% PURPOSE: An example of using sar_gmm
% GM estimation of spatial autoregressive model (on a small data set)
%
%------------------------------------------------
www.eeworm.com/read/449504/7503007
m sac_gmmd.m
% PURPOSE: An example of using sac_gmm
% GM estimation of general spatial model (on a small data set)
%
%---------------------------------------------------
%
www.eeworm.com/read/446759/7565515
c lanczos.c
/**************************************************************************
**
** Copyright (C) 1993 David E. Steward & Zbigniew Leyk, all rights reserved.
**
** Meschach Library
**
**
www.eeworm.com/read/299459/7850303
c qpcsolver.c
/*-----------------------------------------------------------------------
qpcsolver.c: Algorithm solving QPC task.
QPC task to solve is
min 0.5*alpha'*H*alpha + c'*alpha
subject to