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)
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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
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cpp normalfunction.cpp

////////////////////////////////////////////////////////////////////////// ///////////////利用梯形法生成符合标准正态分布的累积函from Dain////////////////// ////////////////////////////////////////////////////////////
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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
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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
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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
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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
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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
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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