代码搜索:Approximation
找到约 1,542 项符合「Approximation」的源代码
代码结果 1,542
www.eeworm.com/read/410134/11301104
m wtlspr.m
function [x,info,dh] = wtlspr(d,w,m,opt)
% WTLSPR - Weighted Total Least Squares approximation
% by the algorithm of Premoli-Rastelo (Algorithm 2.2).
%
% D = [d1 ... dN] - data matrix, sd := size(D,1)
www.eeworm.com/read/410134/11301107
m wtls.m
function [x,M,dh] = wtls(d,w,m)
% WTLS - Weighted Total Least Squares approximation
%
% [x,M,dh] = wtls(d,w,m)
%
% D = [d1 ... dN] - data matrix, sd := size(D,1)
% W - sd x N matrix (EWTLS case)
%
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m mwtlsdh.m
function m = mwtlsdh(d,w,dh)
% MWTLSDH - Weighted Total Least Squares misfit computation.
% [M,DH] = MWTLSDH(D,W,DH) gives the WTLS misfit M achived by
% the data approximation DH.
%
% See the help of
www.eeworm.com/read/264659/11307554
cpp normalfunction.cpp
//////////////////////////////////////////////////////////////////////////
///////////////利用梯形法生成符合标准正态分布的累积函from Dain//////////////////
////////////////////////////////////////////////////////////
www.eeworm.com/read/409626/11317633
m cncqf.m
function [s, w, x] = cNCqf(fun, a, b, n, varargin)
% Numerical approximation s of the definite integral of
% f(x). fun is a string containing the name of the integrand f(x).
% Integration is o
www.eeworm.com/read/409626/11317681
m cncqf.m
function [s, w, x] = cNCqf(fun, a, b, n, varargin)
% Numerical approximation s of the definite integral of
% f(x). fun is a string containing the name of the integrand f(x).
% Integration is o
www.eeworm.com/read/405217/11468647
m sineapprox.m
% SINEAPPROX Generates a clipped sine wave and an approximation to it.
%
% [EXACT, APPROX] = SINEAPPROX (Time, Frequency, Amplitude, ClipAmp)
% Generates the clipped sine wave and an a
www.eeworm.com/read/402283/11539706
m mm2405.m
% mm2405.m
x = [0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1];
y = [-.447 1.978 3.28 6.16 7.08 7.34 7.66 9.56 9.48 9.30 11.2]; % data
n = 2; % order of fit
p = polyfit(x,y,n); % find polynomial coefficients
dp=po
www.eeworm.com/read/402283/11539849
m mm2401.m
% mm2401.m
x = -1:.17:2;
y=humps(x);
xx=[x;x;x];
yy=[y;zeros(size(y));y];
xx=xx(:)';
yy=yy(:)';
xi=linspace(-1,2);
yi=humps(xi);
plot(xx,yy,':',xi,yi,[-1,2],[0 0],'k')
title('Figure 24.1
www.eeworm.com/read/402283/11539859
m mm2406.m
% mm2406.m
x = linspace(0,2*pi);
y = sin(x);
dy = diff(y)/(x(2)-x(1));
xd = x(2:end);
plot(x,y,xd,dy)
axis tight
xlabel('x'), ylabel('sin(x) and cos(x)')
title('Figure 24.6: Backward Difference Deri