代码搜索：Distance
找到约 8,736 项符合「Distance」的源代码
代码结果 8,736
www.eeworm.com/read/326136/13162768
msc separation_distance_scenario.msc
I-Logix-RPY-Archive version 2.0.1
{ IMSC
- _ID = 1;
- hasUnit = 1;
- _properties = NULL;
- _name = "Separation Distance Scenario";
- _comment = "";
- _lastID = 20;
- _stamp = 57027390;
www.eeworm.com/read/139332/5799781
h distance_predicatesh2.h
// Copyright (c) 1999 Utrecht University (The Netherlands),
// ETH Zurich (Switzerland), Freie Universitaet Berlin (Germany),
// INRIA Sophia-Antipolis (France), Martin-Luther-University Halle-Witten
www.eeworm.com/read/139332/5799798
h distance_predicatesh3.h
// Copyright (c) 1999 Utrecht University (The Netherlands),
// ETH Zurich (Switzerland), Freie Universitaet Berlin (Germany),
// INRIA Sophia-Antipolis (France), Martin-Luther-University Halle-Witten
www.eeworm.com/read/482049/6625741
m l2_distance.m
function d = L2_distance(a,b,df)
%%%%这个程序是下面那个外国佬写的，我借来用一下，计算欧拉距离
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix D维空间M个点
% B - (DxN) m
www.eeworm.com/read/482049/6625757
m l2_distance.m
function d = L2_distance(a,b,df)
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
% df = 1, force diagonals to be ze
www.eeworm.com/read/481658/6636989
m l2_distance.m
function d = L2_distance(a,b,df)
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
% df = 1, force diagonals to be ze
www.eeworm.com/read/410325/11292983
m max_distance22.m
%in the name of God
clc
clear all
close all
%********Concept**************************
beta =60*pi/180;
Ht_min =[];
Ht_max =[];
%********calculation**********************
www.eeworm.com/read/250980/12372110
m distance_kld_symmetric.m
function K = distance_KLD_symmetric(v, P, Q)
%function K = distance_KLD_symmetric(v, P, Q)
%
% INPUTS:
% v - difference between two means v = p - q
% P, Q - covariance matrices
%
% OUTPUT:
www.eeworm.com/read/212303/15160238
m l2_distance.m
function d = l2_distance(X,Y)
% d = l2_distance(X)
% Compute pairwise l2 distances between column vectors in X
if (nargin < 2)
[D N] = size(X);
lengths = sum(X.^2,1);
d = repmat(le
www.eeworm.com/read/10316/184314