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 Author Comment/Response Bill Simpson 06/03/13 1:46pm Look at http://reference.wolfram.com/mathematica/ref/FindFit.html and then click on Scope and then click on Constraints and Starting Values In[1]:= data = {1, 2, 5, 4, 7}; fit = FindFit[data, { (A + (B Exp[-t/b] + F Exp[-t/f] + G Exp[-t/g] + H Exp[-t/h] +J Exp[-t/j])), A + B + F + G + H + J == 1 }, {A, B, F, G, H, J, b, f, g, h, j}, t, NormFunction -> (Norm[#, Infinity] &)] During evaluation of In[1]:= FindFit::eit: The algorithm does not converge to the tolerance of 4.806217383937354`*^-6 in 500 iterations. The best estimated solution, with feasibility residual, KKT residual, or complementary residual of {5.55112*10^-16,0.104452,0}, is returned. >> Out[2]= {A -> 4.92405, B -> -0.78459, F -> -0.784866, G -> -0.785016, H -> -0.784793, J -> -0.784789, b -> 1.25944, f -> 1.2597, g -> 1.25977, h -> 1.25967, j -> 1.25967} In[3]:= A + B + F + G + H + J /. fit Out[3]= 1. URL: ,

 Subject (listing for 'normalization of a function') Author Date Posted normalization of a function Mahendra Thapa 06/02/13 8:14pm Re: normalization of a function Bill Simpson 06/03/13 1:46pm Re: Re: normalization of a function Mahendra Thapa 06/04/13 4:56pm Re: Re: Re: normalization of a function Bill Simpson 06/05/13 10:50am Re: Re: Re: Re: normalization of a function Mahendra Thapa 06/07/13 10:23am Re: Re: Re: Re: Re: normalization of a function Bill Simpson 06/08/13 11:18am
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