@@ -62,7 +62,7 @@ def __init__(
6262 the exact time of the event. If the triggered condition function returns a real
6363 number, then the final time will be the time at which that real number equals zero.
6464 (If the triggered condition function returns a boolean, then the returned time will
65- just be the end of the step on which it becomes `True`.)
65+ just be the end of the step on which it becomes `True`.)
6666 [`optimistix.Newton`](https://docs.kidger.site/optimistix/api/root_find/#optimistix.Newton)
6767 would be a typical choice here.
6868
@@ -74,12 +74,12 @@ def __init__(
7474
7575!!! Example
7676
77- Consider a bouncing ball dropped from some intial height $x_0$. We can model
77+ Consider a bouncing ball dropped from some intial height $x_0$. We can model
7878 the ball by a 2-dimensional ODE
7979
8080 $\\ frac{dx_t}{dt} = v_t, \\ quad \\ frac{dv_t}{dt} = -g,$
8181
82- where $x_t$ represents the height of the ball, $v_t$ its velocity,
82+ where $x_t$ represents the height of the ball, $v_t$ its velocity,
8383 and $g$ is the gravitational constant. With $g=8$, this corresponds to the
8484 vector field:
8585
@@ -89,8 +89,8 @@ def vector_field(t, y, args):
8989 return jnp.array([v, -8.0])
9090 ```
9191
92- Figuring out exactly when the ball hits the ground amounts to
93- solving the ODE until the event $x_t=0$ is triggered. This can be done by using
92+ Figuring out exactly when the ball hits the ground amounts to
93+ solving the ODE until the event $x_t=0$ is triggered. This can be done by using
9494 the real-valued condition function:
9595
9696 ```python
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