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/344585/3207881
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/297392/3887055
class fsoundplayer.class
' Gambas class file
STATIC PRIVATE $bDoNotMove AS Boolean
PUBLIC SUB btnOpen_Click()
IF Dialog.OpenFile() THEN RETURN
lblTitle.Text = File.Name(Dialog.Path)
' Approximation...
sldPos.MaxVa
www.eeworm.com/read/273525/4208103
hlp j_mfxnonlinear.hlp
{smcl}
{* 03mar2005}{...}
{title:Try nonlinear warning message}
{pstd}
A marginal effect is a derivative. To find a derivative numerically,
{cmd:mfx} uses the approximation (f(x+h)-f(x))/h.
www.eeworm.com/read/439076/1820275
vhd r2p_post.vhd
--
-- post.vhd
--
-- Cordic post-processing block
--
-- Compensate cordic algorithm K-factor; divide Radius by 1.6467, or multiply by 0.60725.
-- Approximation: Ra = Ri/2 + Ri/8 - Ri/64 - Ri/512
--
www.eeworm.com/read/428780/1954229
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]=...
%
www.eeworm.com/read/396844/2407132
m bic_score_family.m
function [S, LL] = bic_score(counts, CPT, ncases)
% BIC_SCORE Bayesian Information Criterion score for a single family
% [S, LL] = bic_score(counts, CPT, ncases)
%
% S is a large sample approximation
www.eeworm.com/read/172172/9722086
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/367830/9727802
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/367440/9748445
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/414865/11098492
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'.
%