stepsize_exponential.m

function [model, t, nr_fct, output] = stepsize_exponential(model, model_data, output, x, d, exp_step)
%function [model, t_opt, output] = stepsize_exponential(model, model_data, output, x, d, exp_step)

if(model.verbose>=8)
    disp('entered stepsize_exponential')
end

if model.optimization.min_or_max == 'min'
    min_or_max=1;
elseif model.optimization.min_or_max == 'max'
    min_or_max=-1;
else disp('maximize or minimize? model.optimization.min_or_max not properly defined')
    return
end

%initializing
nr_fct = 0;
t_initial=1;
stepsize=0.75;

%reducing the stepsize
t=t_initial*stepsize^exp_step;

%calculate new output value
model=set_mu_to_optimize(model,x,t,d);
output=[output; model.optimization.objective_function(model,model_data)*min_or_max]; nr_fct=nr_fct+1;