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y = bilorz(p, x, [y]) : Bi-Lorentzian


function y=bilorz(varargin)


 y = bilorz(p, x, [y]) : Bi-Lorentzian

   iFunc/bilorz Bi-Lorentzian fitting function
     y = p(1)*exp(-0.5*((x-p(2))/s).^2) + p(5);
   where s = p(3) for x < p(2) and s = p(4) for x > p(2).

 bilorz([ w1 w2])       creates a model with specified widths
 bilorz([ parameters ]) creates a model with specified model parameters

 input:  p: Bi-Lorentzian model parameters (double)
            p = [ Amplitude Centre HalfWidth1 HalfWidth2 BackGround ]
          or 'guess'
         x: axis (double)
         y: when values are given and p='guess', a guess of the parameters is performed (double)
 output: y: model value
 ex:     y=bilorz([1 0 1 1], -10:10); or plot(bilorz)

 Version: Nov. 26, 2018
 See also iFunc, iFunc/fits, iFunc/plot
 (c) E.Farhi, ILL. License: EUPL.


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