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/290205/8496346
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/188324/8549632
m contents.m
% Spline Toolbox
% Version 3.2.2 (R14SP3) 26-Jul-2005
%
% GUIs.
% splinetool - Demonstrate some spline approximation methods.
% bspligui - Experiment with a B-spline as a function of its k
www.eeworm.com/read/386253/8759864
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/386253/8760071
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/428451/8867227
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/427586/8932005
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/183445/9158687
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/179150/9368407
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/179085/9373572
c gsl_statext.c
#include
#include
#include
#include "gsl_statext.h"
// Calculate the approximation of the standard normal distribution
inline static double standardNormal
www.eeworm.com/read/374698/9388862
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,