In [11]:

pkg load optim %pkg load data-smoothing %pkg list

In [ ]:

%%%help nlinfit

In [5]:

function y=fitfun1(c,x) y=c(1)*x+c(2); end

In [2]:

fitfun1([1 2],3)

ans = 5

In [4]:

x=1:10; y=3*x+2; c0=[2 1]; cf=nlinfit(x,y,@fitfun1,c0)

cf =
3.0000
2.0000

In [6]:

function y=fitfun2(c,x) y=c(1)*exp(-x*c(2)); end

In [7]:

x=0:0.01:3; y=3*exp(-x*0.1); c0=[2 0.5]; cf=nlinfit(x,y,@fitfun2,c0)

cf =
3.000000
0.100000

In [9]:

%help nonlin_curvefit %http://octavegsoc15.blogspot.com/ %https://github.com/AsmaAfzal/octave_workspace %https://octave.sourceforge.io/optim/overview.html %https://fossies.org/windows/misc/octave-4.2.1-w32.zip/octave-4.2.1/share/octave/packages/optim-1.5.2/doc/optim.texi

'nonlin_curvefit' is a function from the file /usr/local/share/octave/packages/optim-1.5.2/nonlin_curvefit.m
-- Function File: [P, FY, CVG, OUTP] = nonlin_curvefit (F, PIN, X, Y)
-- Function File: [P, FY, CVG, OUTP] = nonlin_curvefit (F, PIN, X, Y,
SETTINGS)
Frontend for nonlinear fitting of values, computed by a model
function, to observed values.
Please refer to the description of 'nonlin_residmin'. The
differences to 'nonlin_residmin' are the additional arguments X
(independent values, mostly, but not necessarily, an array of the
same dimensions or the same number of rows as Y) and Y (array of
observations), the returned value FY (final guess for observed
values) instead of RESID, that the model function has a second
obligatory argument which will be set to X and is supposed to
return guesses for the observations (with the same dimensions), and
that the possibly user-supplied function for the jacobian of the
model function has also a second obligatory argument which will be
set to X.
Also, if the setting 'user_interaction' is given, additional
information is passed to these functions. Type 'optim_doc ("Common
optimization options")' for this setting.
See also: nonlin_residmin.
Additional help for built-in functions and operators is
available in the online version of the manual. Use the command
'doc <topic>' to search the manual index.
Help and information about Octave is also available on the WWW
at http://www.octave.org and via the [email protected]
mailing list.

In [ ]:

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