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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m fsfind.m

function [Fn,nwo,f,t]=fsfind(fun,T,N,P) %FSFIND Find Fourier Series Approximation. % Fn=FSFIND(FUN,T,N) computes the Complex Exponential % Fourier Series of a signal described by the function 'FUN'. %
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www.eeworm.com/read/274773/10853168

m fsfind.m

function [Fn,nwo,f,t]=fsfind(fun,T,N,P) %FSFIND Find Fourier Series Approximation. % Fn=FSFIND(FUN,T,N) computes the Complex Exponential % Fourier Series of a signal described by the function 'FUN'. %
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www.eeworm.com/read/272527/10953958

m fsfind.m

function [Fn,nwo,f,t]=fsfind(fun,T,N,P) %FSFIND Find Fourier Series Approximation. % Fn=FSFIND(FUN,T,N) computes the Complex Exponential % Fourier Series of a signal described by the function 'FUN'. %
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www.eeworm.com/read/468666/6986259

m alg024.m

% SECANT ALGORITHM 2.4 % % To find a solution to the equation f(x) = 0 % given initial approximations p0 and p1: % % INPUT: initial approximation p0, p1; tolerance TOL; % maxim
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www.eeworm.com/read/299459/7850574

m~ greedyappx.m~

function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=... greedyappx(X,ker,arg,m,p,mserr,maxerr,verb) % GREEDYAPPX Kernel greedy data approximation. % % Synopsis: % [inx,Alpha,kercnt,mserr,maxerr]=... %
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www.eeworm.com/read/299459/7850591

m greedyappx.m

function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=... greedyappx(X,ker,arg,m,p,mserr,maxerr,verb) % GREEDYAPPX Kernel greedy data approximation. % % Synopsis: % [inx,Alpha,kercnt,mserr,maxerr]=... %
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www.eeworm.com/read/398648/7932136

m fsfind.m

function [Fn,nwo,f,t]=fsfind(fun,T,N,P) %FSFIND Find Fourier Series Approximation. % Fn=FSFIND(FUN,T,N) computes the Complex Exponential % Fourier Series of a signal described by the function 'FUN'. %
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www.eeworm.com/read/397122/8065819

m eign.m

function [V,D,Ann] = eign(A1, A2,A3, args) % Find the principal eigenvalues and eigenvectors of a matrix with Nystr鰉's low rank approximation method % % >> D = eign(A, nb) % >> [V, D] = eign(A,
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www.eeworm.com/read/331336/12832492

m eign.m

function [V,D,Ann] = eign(A1, A2,A3, args) % Find the principal eigenvalues and eigenvectors of a matrix with Nystr鰉's low rank approximation method % % >> D = eign(A, nb) % >> [V, D] = eign(A,
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www.eeworm.com/read/140700/13065938

txt alg024.txt

> restart; > # SECANT ALGORITHM 2.4 > # > # To find a solution to the equation f(x) = 0 > # given initial approximations p0 and p1: > # > # INPUT: initial approximation p0, p1; tolerance TOL;
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