代码搜索:containing

找到约 10,000 项符合「containing」的源代码

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txt props.txt

Help on properties of the pfhandle expression class. 'expression' A function handle representing the expression data. 'str' A string representation of the expression. 'gradx' Function hand
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m hgrade_general.m

function v=hgrade_general(obj,x,t,u,varargin) % Calculates: grad_e[h(x,t) + hu(x,t)*u(t) + e(t)] % % Syntax: (* = optional) % % grad_e = hgrade_general(model, x, t, u, e*); % % In arguments: %
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m fgradw_general.m

function v=fgradw_general(obj,x,t,u,varargin) % Calculates: grad_w[f(x,t) + gu(x,t)*u(t) + gw(x,t)*w(t)] % % Syntax: (* = optional) % % grad_w = fgradw_general(model, x, t, u, w*); % % In argum
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m hgrade_general.m

function v=hgrade_general(obj,x,t,u,varargin) % Calculates: grad_e[h(x,t,u,e)] % % Syntax: (* = optional) % % grad_e = hgrade_general(model, x, t, u, e*); % % In arguments: % % 1. model % Mo
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m fgradw_general.m

function v=fgradw_general(obj,x,t,u,varargin) % Calculates: grad_w[f(x,t) + gu(x,t)*u(t) + gw(x,t)*w(t)] % % Syntax: (* = optional) % % grad_w = fgradw_general(model, x, t, u, w*); % % In argum
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m h_general.m

function v=h_general(obj,x,t,u,varargin) % Calculates: h(x,t,u) + e(t) % % Syntax: (* = optional) % % y = h_general(model, x, t, u, e*); % % In arguments: % % 1. model % Model object % 2. x
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m hgrade_general.m

function v=hgrade_general(obj,x,t,u,varargin) % Calculates: grad_e[h(x,t) + hu(x,t)*u(t) + e(t)] % % Syntax: (* = optional) % % grad_e = hgrade_general(model, x, t, u, e*); % % In arguments: %
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m fgradw_general.m

function v=fgradw_general(obj,x,t,u,varargin) % Calculates: grad_w[f(x,t) + gu(x,t)*u(t) + gw(x,t)*w(t)] % % Syntax: (* = optional) % % grad_w = fgradw_general(model, x, t, u, w*); % % In argum
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m median.m

function m = median(chr) % STD - Median value % For vectors, MEDINA(chr) returns the median of the members % in the population. For matrices, MEDIAN(chr) is a column vector % containing t
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m mean.m

function me = mean(chr) % STD - Average value % For vectors, MEAN(chr) returns the mean value of the members % in the population. For matrices, MEAN(chr) is a column vector % containing t