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/125476/14491800
cc normdist_bivariate.cc
// Numerical approximation to the bivariate normal distribution,
// as described e.g. in Hulls book
#include
#include "normdist.h"
#ifndef PI
#define PI 3.141592653589793238462643
#endi
www.eeworm.com/read/213492/15133758
m~ contents.m~
% Kernel machines.
%
% cvkfd - Computes cross validation error for given KFD model.
% diagker - Returns diagonal of kernel matrix of given data.
% dualcov - Dual representation of cova
www.eeworm.com/read/475765/6778086
m p7_11.m
% P7_11.M Interpolate Bessel Function J(6.3)
x=[6.0 6.2 6.4 6.6 6.8];
y=[0.15065 0.20175 0.24331 0.27404 0.29301];
% Linear Least squares
A1=[1 1 1 1 1];
A=[A1' x'];
%
xlsq1=A'*A \ A' *y';
xls
www.eeworm.com/read/474986/6798894
m t2hot2d.m
function [T2Hot2d] = T2Hot2d(X,alpha)
%Hotelling's T-Squared test for two multivariate dependent samples.
%
% Syntax: function [T2Hot2d] = T2Hot2d(X,alpha)
%
% Inputs:
% X -
www.eeworm.com/read/474986/6798899
m t2hot2iho.m
function [T2Hot2iho] = T2Hot2iho(X,alpha)
%Hotelling's T-Squared test for two multivariate independent samples
%with equal covariance matrices.
%
% Syntax: function [T2Hot2iho] = T2Hot2iho(X,a
www.eeworm.com/read/148257/12479810
m svdimage.m
function svdimage(A,k,cmap,flag)
% SVDIMAGE(A) will display the image represented
% by the matrix A. It will then step through the svd
% approximations to the image (starting with the rank
% 1 app
www.eeworm.com/read/381211/9103828
m fg_02_01.m
% fg_02_01 Continuous least squares.
N=1000;
k=[0:N-1];
x=40*sin(2*pi*k/500)/(pi^2);
s=5*[0:124,125:-1:-124,-125:124,125:-1:-124,-125:-1]/125;
%
figure(1); clf;
set(gcf,'position',[80,40,700,4
www.eeworm.com/read/463435/7181045
c gamma.c
/*----------------------------------------------------------------------
File : gamma.c
Contents: computation of the gamma function
Author : Christian Borgelt
History : 04.07.2002 file cre
www.eeworm.com/read/452284/7442658
m apeqpd2.m
function ap = apeqpd2(Nap,x,wp)
% APEQPD2
% MATLAB m-file for ALLPASS fractional delay filter design
% usign EQUIRIPPLE PHASE DELAY approximation
% Format: ap = apeqpd2(Nap,x,wp)
% Input: Nap = f