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/366144/9828395

tcl test7.tcl

# QMG test 7 - a circle with two elliptic holes and a crack. # Make an approximation to a circle using 6 Bezier cubic arcs. set numseg 6 global PI global interactive gmset {verts codes} [gm_circ_app
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di test1.di

Thu Aug 26 14:52:32 EDT 1999 -----> ## QMG test 1 Thu Aug 26 14:52:32 EDT 1999 -----> ## This is an approximation to the mesh on the cover of Claes Thu Aug 26 14:52:32 EDT 1999 -----> ## Johnson'
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m mgtlsp.m

function [m,dh] = mgtlsp(d,w,p) % MGTLSP - Global Total Least Squares misfit computation. % [M,DH] = MGTLSP(D,W,P) gives the GTLS misfit M and the GTLS % approximation DH of the data D by the model im
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m mgtlsr.m

function [m,dh] = mgtlsr(d,w,r) % MGTLSR - Global Total Least Squares misfit computation. % [M,DH] = MGTLSR(D,W,R) gives the GTLS misfit M and the GTLS % approximation DH of the data D by the model ke
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m demo_laplace_2d.m

% demonstrate the Laplace approximation on a 2-d classification task. % 2006-03-23. if isempty(regexp(path,['gpml' pathsep])) cd ..; w = pwd; addpath([w, '/gpml']); cd gpml-demo % add code dir t
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m optimal_filter.m

function Y = optimal_filter(X,type,freq_min,freq_max,options) % PURPOSE: computes cyclical component of X using optimal finite sample % approximation of the ideal filter. % Given time series X ass
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m func_myappcoef2.m

function a = func_Myappcoef2(c,s,varargin) %APPCOEF2 Extract 2-D approximation coefficients. % This code is by Jing Tian if errargn(mfilename,nargin,[3:5],nargout,[0:1]), error('*'), end rmax =
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txt alg083.txt

> restart; > # FAST FOURIER TRANSFORM ALGORITHM 8.3 > # > # To compute the coefficients in the discrete approximation > # for the data (x(J),y(J)), 0
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txt alg083.txt

> restart; > # FAST FOURIER TRANSFORM ALGORITHM 8.3 > # > # To compute the coefficients in the discrete approximation > # for the data (x(J),y(J)), 0
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m mgtlsp.m

function [m,dh] = mgtlsp(d,w,p) % MGTLSP - Global Total Least Squares misfit computation. % [M,DH] = MGTLSP(D,W,P) gives the GTLS misfit M and the GTLS % approximation DH of the data D by the model im