代码搜索：differentiation
找到约 259 项符合「differentiation」的源代码
代码结果 259
www.eeworm.com/read/347945/11624501
m apply_oldrecursive_differentiation.m
function dX = apply_recursive_differentiation(model,x,requested);
dX = [];
% Compute all evaluation-based derivatives df(x)
for i = 1:length(model.evaluation_scheme)
if isequal(model.evaluat
www.eeworm.com/read/347945/11625028
m apply_recursive_differentiation.m
function dX = apply_recursive_differentiation(model,x,requested);
dX = [];
% Compute all evaluation-based derivatives df(x)
for i = 1:length(model.evaluation_scheme)
if isequal(model.evaluat
www.eeworm.com/read/347853/11631176
hlp diff.hlp
SYMBOLIC MATHEMATICS
Prolog can be used for solving symbolic and mathematical problems.
Expressions can be modeled by composite objects. (In the program this
is demonstrat
www.eeworm.com/read/447602/7549203
doc 8numerical differentiation.doc
www.eeworm.com/read/158284/11627451
htm a matlab differentiation matrix suite.htm
A Matlab Differentiation Matrix Suite
A Matlab Differentiation Matrix Suite
This is a software suite designed for M
www.eeworm.com/read/365849/9844575
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:
%
www.eeworm.com/read/365849/9844616
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
www.eeworm.com/read/365849/9844656
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:
%
www.eeworm.com/read/365849/9844682
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
www.eeworm.com/read/325790/13185073
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:
%