Using this transformed problem, the focus turns from that of a differential equation to a problem of integration. Note that the (unknown) solution y(t) appears on both sides of the above equation, which can complicate things a bit.
With the focus now on an integration problem, it makes sense to think about how one would evaluate the above integral numerically. Recall that the integral of a function is simply the area under the curve defined by the function. A very simple approximation of the area under the curve is just a rectangular approximation, where the width of the rectangle is taken to be the interval of integration and the height is taken to be the height of the function at the left-hand endpoint of the interval.

Figure 5.1 depicts the situation and the approach proposed. Namely, the true area under the curve is to be approximated by a rectangular region whose height is determined by the height of the function at the left-hand endpoint of the interval.
Naturally, this intuitive approximation of the integral
translates into a numerical scheme. For the interval over
, the equation for
becomes
Substituting in our approximation to the integral and using the assertion
that
, this becomes
This leads to our computed approximation
For the general sub-interval under consideration, the general form of this approximation is Euler's formula,