代码搜索：minimum
找到约 5,594 项符合「minimum」的源代码
代码结果 5,594
www.eeworm.com/read/136827/5847118
h cnst.h
/**********************************************************************
** Copyright (C) 2000-2005 Trolltech AS and its licensors.
** All rights reserved.
**
** This file is part of the Qtopia Environ
www.eeworm.com/read/493294/6399902
m minc.m
%MINC Minimum combining classifier
%
% W = MINC(V)
% W = V*MINC
%
% INPUT
% V Set of classifiers
%
% OUTPUT
% W Minimum combining classifier on V
%
% DESCRIPTION
% If V = [V1,V2,V3, ...
www.eeworm.com/read/493005/6403660
min
NAME
min - minimum, or minimum of defined minima
SYNOPSIS
min(x_1, x_2, ...)
TYPES
x_1, x_2, ... any
return any
DESCRIPTION
If an argument x_i is a list with elements e_1, e_2
www.eeworm.com/read/400577/11572607
m minc.m
%MINC Minimum combining classifier
%
% W = MINC(V)
% W = V*MINC
%
% INPUT
% V Set of classifiers
%
% OUTPUT
% W Minimum combining classifier on V
%
% DESCRIPTION
% If V = [V1,V2,V3, ...
www.eeworm.com/read/157453/11702689
out bboard.out
Enter 8 x 5 net matrix
Minimum density is 4
Optimal arrangement is
2 3 4 5 1 6 7 8
www.eeworm.com/read/346392/11751479
m mst_k.m
%MST_k.m
%This program solves the Minimum Spanning Tree problem by using Kruskal Algorithm.')
n=input('Enter the vertices number of the graph:n= ')
W=input('Enter the weight adjacent matrix of the
www.eeworm.com/read/255755/12057249
m minc.m
%MINC Minimum combining classifier
%
% W = MINC(V)
% W = V*MINC
%
% INPUT
% V Set of classifiers
%
% OUTPUT
% W Minimum combining classifier on V
%
% DESCRIPTION
% If V = [V1,V2,V3, ...
www.eeworm.com/read/253950/12174005
htm linemin.htm
Netlab Reference Manual linemin
linemin
Purpose
One dimensional minimization.
Description
[x, options] = linemi
www.eeworm.com/read/150905/12248302
m minc.m
%MINC Minimum combining classifier
%
% W = MINC(V)
% W = V*MINC
%
% INPUT
% V Set of classifiers
%
% OUTPUT
% W Minimum combining classifier on V
%
% DESCRIPTION
% If V = [V1,V2,V3, ...
www.eeworm.com/read/150905/12250186
htm linemin.htm
Netlab Reference Manual linemin
linemin
Purpose
One dimensional minimization.
Description
[x, options] = linemi