代码搜索：Contained
找到约 5,885 项符合「Contained」的源代码
代码结果 5,885
www.eeworm.com/read/374163/9419119
c setterm.c
/* setterm.c, set terminal attributes.
*
* Copyright (C) 1990 Gordon Irlam (gordoni@cs.ua.oz.au). Conditions of use,
* modification, and redistribution are contained in the file COPYRIGHT that
*
www.eeworm.com/read/177981/9424884
m da_det1.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy
www.eeworm.com/read/177981/9424965
m da_lsdet.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy
www.eeworm.com/read/365849/9844247
m eval.m
function v=eval(obj,varargin)
% Method for evaluating an expression contained in a xltv object.
%
% Syntax: (* = optional)
%
% v = eval(model, x*, t*, u*, w*);
%
% In arguments:
%
% 1. model
www.eeworm.com/read/365849/9844466
m eval.m
function v=eval(obj,varargin)
% Method for evaluating an expression contained in a xhandle object.
%
% Syntax: (* = optional)
%
% v = eval(model, x*, t*, u*, w*);
%
% In arguments:
%
% 1. mod
www.eeworm.com/read/164272/10120005
m da_det1.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy
www.eeworm.com/read/164272/10120116
m da_lsdet.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy
www.eeworm.com/read/425844/10316058
cpp inplaceedit.cpp
// InPlaceEdit.cpp : implementation file
//
// Adapted by Chris Maunder
// Copyright (c) 1998-2000. All Rights Reserved.
//
// The code contained in this file is based on the
www.eeworm.com/read/159601/10635733
m da_det1.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy
www.eeworm.com/read/159601/10636109
m da_lsdet.m
%
% da_det1.m
%
% Prints out a more detailed analysis of the regression
% results.
%
% The results should be contained in two vectors,
% py - the predicted output over the validation set
% vy