代码搜索:containing

找到约 10,000 项符合「containing」的源代码

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m gradx.m

function v=gradx(obj,x,t,w,u) % Evaluates the gradient object at time t, with respect to x. % % Syntax: (* = optional) % % v = gradx(obj, x, t, w, u); % % In arguments: % % 1. obj % The xtab
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m eval.m

function v=eval(obj,x,t,u,w) % Method for evaluating an expression contained in a xtable object. % % Syntax: (* = optional) % % v = eval(model, x, t, u, w); % % In arguments: % % 1. model %
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m gradw.m

function v=gradw(obj,x,t,w,u) % Evaluates the gradient object at time t, with respect to w. % % Syntax: (* = optional) % % v = gradw(obj, x, t, w, u); % % In arguments: % % 1. obj % The xtab
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m pnames.m

function [props,rprops]=pnames % The properties are divided into two groups: % General properties (or just 'properties') that can be both read and written, and % read-only properties that can be re
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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
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m pnames.m

function [props,rprops]=pnames % The properties are divided into two groups: % General properties (or just 'properties') that can be both read and written, and % read-only properties that can be re
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m pnames.m

function [props,rprops]=pnames % The properties are divided into two groups: % General properties (or just 'properties') that can be both read and written, and % read-only properties that can be re
www.eeworm.com/read/365849/9844578

m pyx.m

function pr=pyx(obj,y,x,t,u); % Calculates p(y|x), ie the probability of y given x. % % Syntax: (* = optional) % % pr = pyx(model, y, x, t, u); % % In arguments: % % 1. model % Model object.
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m dnl.m

function obj = pfsys(varargin) % Constructor for the DNL (Discrete Non-Linear) model % % x(t+T) = f(x,u,w,t) % y(t) = h(x,u,t) + e(t) % % Syntax: (* = optional) % % model = dnl(f, h, x0, w,
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m f_general.m

function v=f_general(obj,x,t,u,varargin) % Calculates: f(x,t,u,w) % % Syntax: (* = optional) % % x_new = f_general(model, x, t, u, w*); % % In arguments: % % 1. model % Model object % 2. x