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function MFAG_eta(mu_n,s,e,norm_type);
// This Software is ( Copyright INRIA . 1998 1 )
//
// INRIA holds all the ownership rights on the Software.
// The scientific community is asked to use the SOFTWARE
// in order to test and evaluate it.
//
// INRIA freely grants the right to use modify the Software,
// integrate it in another Software.
// Any use or reproduction of this Software to obtain profit or
// for commercial ends being subject to obtaining the prior express
// authorization of INRIA.
//
// INRIA authorizes any reproduction of this Software.
//
// - in limits defined in clauses 9 and 10 of the Berne
// agreement for the protection of literary and artistic works
// respectively specify in their paragraphs 2 and 3 authorizing
// only the reproduction and quoting of works on the condition
// that :
//
// - "this reproduction does not adversely affect the normal
// exploitation of the work or cause any unjustified prejudice
// to the legitimate interests of the author".
//
// - that the quotations given by way of illustration and/or
// tuition conform to the proper uses and that it mentions
// the source and name of the author if this name features
// in the source",
//
// - under the condition that this file is included with
// any reproduction.
//
// Any commercial use made without obtaining the prior express
// agreement of INRIA would therefore constitute a fraudulent
// imitation.
//
// The Software beeing currently developed, INRIA is assuming no
// liability, and should not be responsible, in any manner or any
// case, for any direct or indirect dammages sustained by the user.
//
// Any user of the software shall notify at INRIA any comments
// concerning the use of the Sofware (e-mail : FracLab@inria.fr)
//
// This file is part of FracLab, a Fractal Analysis Software
// function MFAG_eta(mu_n,s,e,norm_type)
//
// Computes a vector of Continuous Large Deviation spectrum
// with fixed precision epsilon (e)
// and varying scale eta (related to the scale factor (s: eta=s*eta_n)
//
// inputs : mu_n: input 1d pre-mu_nltifractal measure
// (normalized strictly positive vector)
// s: scale factor
// (strictly positive vector)
// e: set the precision epsilon of the pdf
// (strictly positive scalar)
// norm_type: type of the Lp norm
// (1,2,inf,-inf,P)
// outputs :
//
// set nu_n, eta_n, eta_i, n, m, f
[height,width]=size(mu_n);
nu_n=max([height,width]);
eta_n=1./nu_n;
eta_i=eta_n.*s;
[height,n]=size(s);
[height m]=size(e);
f=zeros(n,200);
// compute first spectrum
i=1;
[a,f,p,oe]=mcfge(mu_n,200,2,s(i),e);
f(i,:)=f;
// plot first spectrum
plot(a,f(i,:));
// compute other spectra
for i=2:n
[a,f,p,oe]=mcfge(mu_n,200,2,s(i),e);
f(i,:)=f;
plot(a,f(i,:));
norm_diff(i)=norm(f(i,:)-f(i-1,:),norm_type);
end
// plot norm_diff
plot(eta_i(2:n),norm_diff(2:n),'-');
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