flappy_bird

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flappy_bird
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13
  • A random vibration problem

    The vertical displacement of the midpoint from equilibrium at time t = 1.6 [seconds] is approximately equal to -0.16 [unit lengths(?)].


    mark
  • Random heat evolution problem

    A metal bar of length 1 lies along the unit interval. Its temperature distribution is given by:

    $$g(x) = 4x^2 - 3x$$

    At time $t=0$, its left end is set to temperature $0$ and its right end to $-1$. Sketch the temperature distribution at times:

    $$t=0, \: t=0.01, \: t=0.1, \text{ and } t=10$$



    mark
  • Smile

    Bird face just looks ominous (。_。)


    mark
  • Eigenranking

    My matrix was:

      [0, 1, 3, 1, 2],

      [2, 0, 1, 3, 1],

      [2, 4, 0, 1, 3],

      [2, 3, 1, 0, 1],

      [4, 2, 2, 2, 0]

    My ranking was:

    Team 3: rating = 0.5273129974036033
    Team 5: rating = 0.5215157378625016
    Team 1: rating = 0.4172591286356548
    Team 4: rating = 0.3713873702087703
    Team 2: rating = 0.3713873702087703
    


    mark
  • Approximating an eigenfunction

    I tried the following:

    a = 0

    b = 2

    n =25

    1) The 24x24 matrix that approximates the 2nd derivative is

    $$U_{xx}=\begin{pmatrix} -312.5 & 156.25 & 0 & \ldots & 0 & 0 & 0\\ 156.25 & -312.5 & 156.25 & \ldots & 0 & 0 & 0\\ \ldots & \ldots & \ldots & \ldots & \ldots & \ldots & \ldots\\ 0 & 0 & 0 &\ldots & 156.25 & -312.5 & 156.25\\ 0 & 0 & 0 & \ldots & 0 & 156.25 & -312.5 \end{pmatrix}$$

    2) The eigenvalue of smallest magnitude and its corresponding eigenvector are:

    $$\lambda = -2.4642$$

    $$\vec u = \begin{pmatrix} -0.0354\\ -0.0703\\-0.1041\\-0.1362\\-0.1662\\-0.1936\\-0.2179\\-0.2388\\-0.2559\\-0.2689\\-0.2778\\-0.2822\\-0.2822\\-0.2778\\-0.2689\\-0.2559\\-0.2388\\-0.2179\\-0.1936\\-0.1662\\-0.1362\\-0.1041\\-0.0703\\-0.0354\end{pmatrix}$$

    3) The eigenfunction for this problem was: $$k* sin(\sqrt{-\lambda}*x)$$.

    If we drop k, we get the following plot:

    But if we let $k = -0.09\pi$, we get the following:

    Now, I don't remember talking about using the approximation to find $k$ in class. @mark Could you explain why this was necessary here?

    mark
  • Modeling 2D Heat Flow

    Given the boundary and initial conditions, $u(t=1s) \approx 0.92$ [temperature units] at the midpoint of the insulated boundary.


    mark
  • Modeling a steady state heat distribution in 2D

    The steady-state temperature of the bar at the lower right corner is approximately $0.909$ [temperature units]


    mark
  • Steady state heat flow with source

    Heat flow with a constant internal heat source is governed by the following model:

    $$u_t = 4u_{xx} + 5$$

    Find the steady-state temperature distribution $u(x,t)$ if the boundary conditions are:

    $$u( 0, t) = -2; u( 1, t) = 4$$

    Steady-state implies that nothing changes with time, therefore:

    $$\frac{du}{dt} = 0$$

    Plugging the result into the model and rearranging the terms:

    $$u_{xx} = - \frac{5}{4}$$

    Integrate twice:

    $$u_x = - \frac{5}{4} x + \phi (t)$$

    $$u = - \frac{5}{8} x^2 + \phi (t)x + \psi (t)$$

    Use boundary conditions to determine the unknown functions $\phi (t)$ and $\psi (t)$

    $$u(0, t) = \psi (t) = -2$$

    $$u(1, t) = -\frac{5}{8} + \phi (t) + (-2) = 4 \rightarrow \phi(t) = \frac{53}{8}$$

    Therefore, the steady state temperature distribution is:

    $$\boxed{u(x,t) = - 0.625 x^2 + 9.6 x -2}$$

    mark