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)