No BSD License
Highlights from
Nlsqbnd
-
LMFsolve(varargin)
LMFSOLVE Solve a Set of Nonlinear Equations in Least-Squares Sense.
-
[F,Jac]=LSwatson(x)
-
[f,J,ctrlout,evalJ]=fwrapper(...
wrapper for elsunc compatibility with Matlab
-
[f,J]=LSBox(x)
-
[f,J]=LSBrown(x,p)
-
[f,J]=LSMeyer(x)
-
[f,J]=LSpowell(x)
-
[f,J]=LSrosenb(x)
persistent nf
-
[f,J]=LSwood(x)
-
[x,resnorm2,f,exitflag,Output...
nlsqbnd solves non-linear least squares problems.
-
testnlsqbnd
call nlsqbnd tests
-
View all files
from
Nlsqbnd
by Alain Barraud
Non linear Leasr Squares Solver with box constraints/
|
| [f,J,ctrlout,evalJ]=fwrapper(x,ctrlin,func,evalJ,Joption,varargin)
|
function [f,J,ctrlout,evalJ]=fwrapper(x,ctrlin,func,evalJ,Joption,varargin)
% wrapper for elsunc compatibility with Matlab
%evalJ=varargin{1};Joption=varargin{2};
x=x(:);
if ctrlin==1||ctrlin==-1% computes f
J=[];
try
f=func(x,varargin{:});ctrlout=ctrlin;
catch% f is not computable at x
if ctrlin==1
ctrlout=-1;
else
ctrlout=-20;
end
f=[];
end
elseif ctrlin==2&&Joption==1% computes analytical J
try
[f,J]=func(x,varargin{:});ctrlout=ctrlin;evalJ=evalJ+1;
catch
ctrlout=-30;% J is not computable at x
f=[];J=[];
end
else
ctrlout=0;% J wil be computed by differences
f=[];J=[];
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
Contact us at files@mathworks.com