grad1.m

来自「偏最小二乘算法在MATLAB中的实现」· M 代码 · 共 23 行

function df=grad(x)
%GRAD1 Calcualtes Jocobian of objective function for training NNPLS
% Routine to calculate the Jacobian of fun1 for optimization with leastsq.
% grad1 here is different from gradient that is used with conjugate 
% gradient routine cgrdsrch.
% See Optimization Toolbox.
% I/O syntax is df = grad(x)

%  Copyright
%  Thomas Mc Avoy
%  1994
%  Distributed by Eigenvector Technologies
%  Modified by BMW  5-8-95
global Tscores Uscores
% these global variable need to be added to inner.m
	t=Tscores;
	u=Uscores;
	n=(length(x)-1)/3;
	beta=x(1:n+1);
	kin=[x(n+2:2*n+1)';x(2*n+2:3*n+1)'];
% gradnet1 calculates the Jacobian
	df=gradnet1(t,u,kin,beta);