Artificial intelligent assistant

Ski simulation - Velocity vector components So I am creating a physics ski simulation as a project on my University and the task that I've been struggling with for a couple of hours is: **How fast is a Skier moving towards a still obstacle at particular time?**. It's described in the literature as $\nabla r_{ab}$ where $r_{ab}$ is the distance between skier and an obstacle. A picture that may be helpful I've tried multiplying velocity's $x$ and $y$ components by $cos$ of the angles between them and the vector pointing toward the obstacle but didn't get the result I need. **EDIT** : The things I know about skier are: position $(a_x, a_y)$, velocity $(V_x, V_y)$, forces that he is exposed to. The thing I know about obstacle is it's position $(b_x, b_y)$

The cosine formula should work if you apply it to the actual velocity vector itself. As you found out, it does not work on the components of that vector.

Use `sqrt(vx*vx + vy*vy)` to find the magnitude of the skier's velocity, and something like `atan2(vy, vx)` to find the skier's direction.

For the direction, you may need to swap the `vx` and `vy`, change sign, or add a constant to the result, depending on exactly how you have set up the coordinate system and how your software environment defines `atan2`. The angle will probably be given in radians, which is fine since you just need to pass it to `cos`. Try a few examples, printing out the components and the calculated angle, until you get it right.

Alternatively, you can evaluate $$ \frac d{dt} \sqrt{ (x - x_b)^2 + (y - y_b)^2 } $$ given the skier's position $(x,y)$ and velocity components $(v_x, v_y)$, taking $\frac d{dt} x = v_x$ and $\frac d{dt} y = v_y$. But I do it the first way when I program something like this.

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