| ControlString(i_integrator_control, i_pert_control, i_beta_control, i_pert_end_control, i_fit_control, m_2, m_3)
|
function out_string = ControlString(i_integrator_control, i_pert_control, i_beta_control, i_pert_end_control, i_fit_control, m_2, m_3)
% Version: 1.0, 19 March 2008
%
% Produces diagnostic string given control flags
switch i_integrator_control
case 0 % do no integration
int_str = 'No integration.';
case 1
int_str = 'Single step integration.';
case 2 % integrate in steps, determine safe halt time due to filamentation/fusion
int_str = 'Multi-step integration.';
case 3 % create 'fake data' using predictions of linear theory
int_str = 'Linear theory predictions.';
case 4
int_str = 'Experimental data.';
end
switch i_pert_control
case 0 % no pert, but add noise to avoid fitting singularity problem
pert_str = ' No pert.';
case 1 % Eq. 15b form perturbation
pert_str = ' Pert: alpha_m, beta_m.';
case 2 % Eq. 16 form perturbation (linearized)
pert_str = ' Pert: lin alpha_m.';
case 3 % Eq. 15a form perturbation
pert_str = ' Pert: A_m, B_m.';
end
switch i_beta_control
case 0
beta_str = ' Angle: specified.';
case 1
beta_str = ' Angle: growing eig.';
case 2
beta_str = ' Angle: decaying eig.';
end
switch i_pert_end_control
case 0
trim_str = ' ';
case 1
trim_str = ' End trimming';
end
switch i_fit_control
case 0
fit_str = ' No fitting.';
case 1
if m_2 == 0
fit_str = ' Linear fit of 1 mode.';
else
if m_3 == 0
fit_str = ' Linear fit of 2 modes.';
else
fit_str = ' Linear fit of 3 modes.';
end
end
case 2
if m_2 == 0
if m_3 >= 0
fit_str = ' Nonlinear fit of 1 mode, a b constant.';
else
fit_str = ' Nonlinear fit of 1 modes, a b varied.';
end
else
if m_3 >= 0
fit_str = ' Nonlinear fit of 2 modes, a b constant.';
else
fit_str = ' Nonlinear fit of 2 modes, a b varied.';
end
end
end
out_str = [int_str, pert_str, beta_str, trim_str, fit_str];
disp(out_str);
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