代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
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c lambert.c

/* specfunc/lambert.c * * Copyright (C) 2007 Brian Gough * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2001 Gerard Jungman * * This program is free software; you can redistribute it and/or modif
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m gtls2.m

function [r,p,M,dh] = gtls2(d,wl,wr,m,tol) % GTLS2 - Global Total Least Squares approximation % with two side weighting. % % [r,p,M,dh] = gtls2(d,wl,wr,m,tol) % % D = [d1 ... dN] - data matrix, sd :=
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m mtlsr.m

function [m,dh] = mtlsr(d,r) % MTLSR - Total Least Squares misfit computation. % [M,DH] = MTLSR(D,R) gives the TLS misfit M and the TLS % approximation DH of the data D by the model ker(R). % Compute
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m mtlsp.m

function [m,dh] = mtlsp(d,p) % MTLSP - Total Least Squares misfit computation. % [M,DH] = MTLSP(D,P) gives the TLS misfit M and the TLS % approximation DH of the data D by the model image(P). % Compu
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m vtb3_3.m

function [ap,bp]=vtb3_3(dat,t,n) %VTB3_3 Fourier series approximation to a function. %[a,b]=VTB3_3(dat,t,n) returns Fourier coefficients of a function % The coefficients are numerical approximations
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m sbcoef2.m

function b = sbcoef2(c, s, n) % SBCOEF2 Extract 2-D subband coefficients % B = SBCOEF2(C, S, N) % % Input: % [C, S]: wavelet decomposition structure (see WAVEDEC2) % N: subband number, 0 for app
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m acorr.m

function [p,t]=acorr(y,rmax); % function [p,t]=acorr(y,r); % % Calculates an approximation to the autocorrelation function for a timeseries % y. % %Michael Small %3/3/2005 %ensmall@polyu.edu.hk if n
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m psiinv.m

function p = Psiinv(xlist,mlist2,psi2) % function p = Psiinv(x,mlist2,psi2) % % Compute the Psi^{-1} function used in density evolution % x = value % mlist2, psi2 -- list of points to interpolate (see
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m psi.m

function p = Psi(xlist,mlist2,psi2) % function p = Psi(x,mlist2,psi2) % % Compute the Psi function used in density evolution % x = value % mlist2, psi2 -- list of points to interpolate (see densev1)
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m apflat2.m

function ap = apflat2(N,x) % APFLAT2 % MATLAB m-file for ALLPASS fractional delay filter design % using MAXIMALLY GLAT GROUP DELAY approximation % Format: ap = apflat2(N,x) % Input: N = filter or