Gauss2

Problem definition

Objective function
f = @(x,b) b(1)*exp(-b(2).*x)+b(3)*exp(-(x-b(4)).^2./b(5).^2)+ ...
b(6)*exp(-(x-b(7)).^2./b(8).^2)
Problem setup
Graphic representation
scatter(x,y)

Optimization example with lsqcurvefit

Optimization
rng(0)	

% for tractability

[b,info] = lsqcurvefit(f,ig1,x,y)

% running minimization

Animation
rng(0)
[~,info] = lsqcurvefit(f,ig1,x,y)
info.plot = 'fit'
info.animate = true	

% plot animation

optimview('lsqcurvefit',info)

Related functions

lsqcurvefit | plot | scatter