view +anim/animate.m @ 774:66eb4a2bbb72 feature/grids

Remove default scaling of the system. The scaling doens't seem to help actual solutions. One example that fails in the flexural code. With large timesteps the solutions seems to blow up. One particular example is profilePresentation on the tdb_presentation_figures branch with k = 0.0005
author Jonatan Werpers <jonatan@werpers.com>
date Wed, 18 Jul 2018 15:42:52 -0700
parents 2fe13db674da
children
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% Calls F(t) repeatedly
% Should there be a Fsetup and a F, two function, to allow creating a plot and then updating it?
% F takes the time to generate the frame for and returns the actual time for the generated frame.
% t = F(t_r) is a function that paints a frame for time t. t is the closest time <=t_r
% it will be called for increasnig t.

%Todo: make it catch up and produce warnings if it lags behind? Instead of just requesting the next target time


% If adapt is true time_modifier is treated as an upper bound
function animate(F, tstart, tend, time_modifier, target_frame_rate)
    default_arg('time_modifier', 1);
    default_arg('target_frame_rate',30);

    % t is simulation time
    % tau is real time

    time_modifier_bound = time_modifier;
    dTau_target = 1/target_frame_rate; % Real time between frames

    rs = util.ReplaceableString();
    rs.appendFormat('                   t: %d\n');
    rs.appendFormat('                 tau: %d\n');
    rs.appendFormat('          target tau: %d\n');
    rs.appendFormat('          Target fps: %.2f\n');
    rs.appendFormat('          Actual fps: %.2f\n');
    rs.appendFormat('Target time_modifier: %d\n');
    rs.appendFormat('actual time_modifier: %d\n');

    animation_start = tic();
    prevTau = 0;
    targetTau = 0;
    tauFrameStart = -dTau_target;
    t = F(tstart);

    while t < tend
        % Sleep until the frame should start
        pause(targetTau-toc(animation_start));
        tau = toc(animation_start);
        dTau = tau - tauFrameStart;

        % Calculate error in tau
        e_Tau = tau - targetTau;

        % Regulate time_modifier based on e_Tau
        % time_modifier = min(time_modifier_bound, max(0.5, abs(1-e_Tau/dTau)) * time_modifier);

        % Mark the start of the frame
        tauFrameStart = tau;

        dt_target = dTau_target*time_modifier; % Targeted simulation time between frames

        t_prev = t;
        t = F(t + dt_target); % Run simulation

        % Calculate when this frame should end and the next start. (this depends on what simulation time we ended up on)
        dt = t-t_prev;
        % targetTau = targetTau + dt/time_modifier;
        targetTau = targetTau + dTau_target;

        % Update information about this frame
        tau = toc(animation_start);
        rs.updateParam(t, tau, targetTau, 1/dTau_target, 1/dTau, time_modifier_bound, time_modifier);
    end


    % Final time reporting
    time_to_animate = toc(animation_start);
    expected_time = tend/time_modifier;
    fprintf('\n');
    fprintf('Time to animate: %.3f\n', time_to_animate)
    fprintf('Expected time  : %.3f\n', expected_time)
end