Re: [julia-users] CurveFit Pakage: non-linear fitting code

2016-01-24 Thread Alexandre Gomiero de Oliveira
Hi, João, The "y = 1 * sin (x * a2-a3)" is a harmonic function, so the coefficients returning from the function call, depend heavily on the parameter a0 ("initial guess for each fitting parameter") you will send as the third parameter of the nonlinear_fit function (with maxiter=200_000): a0=[1

Re: [julia-users] CurveFit Pakage: non-linear fitting code

2016-01-23 Thread jmarcellopereira
hello tshort I published this post on the "stack". the solution presented has errors in the coefficients. Em sábado, 23 de janeiro de 2016 14:08:07 UTC-2, tshort escreveu: > > One link: > > > http://stackoverflow.com/questions/34840875/julia-using-curvefit-package-non-linear > On Jan 23, 2016

Re: [julia-users] CurveFit Pakage: non-linear fitting code

2016-01-23 Thread Tom Short
One link: http://stackoverflow.com/questions/34840875/julia-using-curvefit-package-non-linear On Jan 23, 2016 10:13 AM, wrote: > I wish someone would publish a nonlinear fitting code using package > CurveFit > using this data, how we can use CurveFit? > > x = [0.0 0.2 0.4 1.0 1.6 1.8 2.0 2.6 2.8

[julia-users] CurveFit Pakage: non-linear fitting code

2016-01-23 Thread jmarcellopereira
I wish someone would publish a nonlinear fitting code using package CurveFit using this data, how we can use CurveFit? x = [0.0 0.2 0.4 1.0 1.6 1.8 2.0 2.6 2.8 3.0 3.8 4.8 5.0 5.2 6.0 6.2 7.4 7.6 7.8 8.6 8.8 9.0 9.2 9.4 10.0 10.6 10.8 11.2 11.6 11.8 12.2 12.4]; y = [-0.183 -0.131 0.027 0.3 0.579