代码搜索：Difference
找到约 3,389 项符合「Difference」的源代码
代码结果 3,389
www.eeworm.com/read/191613/8426359
cpp exe56.cpp
// Programming with C++, Second Edition, by John R. Hubbard
// Copyright McGraw-Hill, 2000
// Example E.56 on page 391
// Testing the set_difference() algorithm
#include
#includ
www.eeworm.com/read/432640/8585251
h reverse_iter.h
//
// Copyright 1997, 1998, 1999 University of Notre Dame.
// Authors: Andrew Lumsdaine, Jeremy G. Siek, Lie-Quan Lee
//
// This file is part of the Matrix Template Library
//
// You should have recei
www.eeworm.com/read/386060/8766588
m normalize_variation.m
function [X,H] = normalize_variation(x, H)
% image_coordinate_cormalization balaces the magnitute difference on each
% entry of x. H returns the mean and the standard deviation of the entries.
[dimen
www.eeworm.com/read/179954/9329286
cpp adjdiff1.cpp
/* The following code example is taken from the book
* "The C++ Standard Library - A Tutorial and Reference"
* by Nicolai M. Josuttis, Addison-Wesley, 1999
*
* (C) Copyright Nicolai M. Josutti
www.eeworm.com/read/373081/9475805
m sub_pls.m
function [P,Q,W,T,U,bsco,ssqdif] = sub_pls(X,Y,lv)
% pls calculates a PLS model
%
% Input:
% X: independent variables
% Y: dependent variable(s)
% lv: number of latent variables
%
% [P
www.eeworm.com/read/361297/10058876
m ex030800.m
x = rand(1,11); n = 0:10;
k = 0:500; w = (pi/500)*k;
X = x * (exp(-j*pi/500)).^(n'*k); % DTFT of x
% signal shifted by two samples
y = x; m = n+2;
Y = y * (exp(-j*pi/500)).^(m'*k); % DTFT of y
%
www.eeworm.com/read/360770/10079157
m deriv2.m
function y = deriv2 (a,h,p,m,e,f)
%--------------------------------------------------------------------
% Usage: y = deriv2 (a,h,p,m,e,f);
%
% Description: Numerically estimate the second d
www.eeworm.com/read/163777/10145889
m ex030800.m
x = rand(1,11); n = 0:10;
k = 0:500; w = (pi/500)*k;
X = x * (exp(-j*pi/500)).^(n'*k); % DTFT of x
% signal shifted by two samples
y = x; m = n+2;
Y = y * (exp(-j*pi/500)).^(m'*k); % DTFT o
www.eeworm.com/read/424116/10491120
m sub_pls.m
function [P,Q,W,T,U,bsco,ssqdif] = sub_pls(X,Y,lv)
% pls calculates a PLS model
%
% Input:
% X: independent variables
% Y: dependent variable(s)
% lv: number of latent variables
%
% [P
www.eeworm.com/read/160583/10517096
py image_demo.py
#!/usr/bin/env python
from pylab import *
delta = 0.025
x = y = arange(-3.0, 3.0, delta)
X, Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1,