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/140700/13066240
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;
www.eeworm.com/read/140697/13066773
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
www.eeworm.com/read/140697/13066948
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
www.eeworm.com/read/241225/13163230
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'.
%
www.eeworm.com/read/138268/13243525
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'.
%
www.eeworm.com/read/324303/13273732
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,
www.eeworm.com/read/320558/13423926
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'.
%
www.eeworm.com/read/318947/13465979
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,
www.eeworm.com/read/316944/13514012
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,
www.eeworm.com/read/306131/13751992
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'.
%