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gibson:teaching:spring-2016:math445:lecture:timestepping [2016/04/14 11:55] gibson [Problem 3] |
gibson:teaching:spring-2016:math445:lecture:timestepping [2016/04/14 18:23] (current) gibson [Problem 4] |
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{{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath1.png?direct&400 }} | {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath1.png?direct&400 }} | ||
- | Note that the computed trajectory is not very accurate, since we chose quite a large time step $\Delta t = 0.4$, and forward-Euler is only 1st-order accurate (error scales as $\Delta t$). | + | |
+ | Note that the trajectory computed here is not very accurate. The particle shouldexit the box at the same $y$ value it had when it entered. The problem is we chose quite a large time step $\Delta t = 0.4$, and forward-Euler is only 1st-order accurate (error scales as $\Delta t$). In the next problem, we'll reduce the time step to $\Delta t = 0.01$ and get a more accurate solution --though still not as good as the 4th-order accurate ''ode45'' function. | ||
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====Problem 2==== | ====Problem 2==== | ||
- | Write Matlab code that plots the //path// of the particle as a red curved line. To do this wee need to save the sequence of $\vec{x}$ values in a matrix, and then plot the rows of that matrix as a line. | + | Write Matlab code that plots the //path// of the particle as a red curved line. To do this we need to save the sequence of $\vec{x}$ values in a matrix, and then plot the rows of that matrix as a line. |
<code matlab> | <code matlab> | ||
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axis equal | axis equal | ||
axis tight | axis tight | ||
- | xlim([-xmax,xmax]) | + | xlim([-3,3]) |
- | ylim([-ymax,ymax]) | + | ylim([-2,2]) |
</code> | </code> | ||
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x0 = [-2.8; y]; % set initial position of particle | x0 = [-2.8; y]; % set initial position of particle | ||
- | [t, x] = ode45(@v, [0 T], x0); % compute x(t) at given values of t | + | [t, x] = ode45(@v, [0 T], x0); % compute x(t) over range 0 <= t <= T |
plot(x(:,1), x(:,2), 'r-'); % plot the path | plot(x(:,1), x(:,2), 'r-'); % plot the path |