Concept:
Euler's Method is one of the simplest numerical techniques for approximating the solution of a first-order differential equation
\[
\frac{dy}{dx}=f(x,y),
\]
when the exact analytical solution is difficult to obtain.
If the initial condition is
\[
y(x_0)=y_0,
\]
then the approximate value at the next point is given by
\[
\boxed{
y_{n+1}=y_n+h\,f(x_n,y_n),
}
\]
where
• \(h\) is the step size,
• \(x_{n+1}=x_n+h\),
• \(f(x_n,y_n)\) is the slope evaluated at the current point.
Euler's method uses the tangent at the known point to estimate the value of the solution at the next point.
Step 1: Identify the given data.
The given differential equation is
\[
\frac{dy}{dx}=x^{2}-y.
\]
Comparing with
\[
\frac{dy}{dx}=f(x,y),
\]
we obtain
\[
f(x,y)=x^{2}-y.
\]
Also,
\[
x_0=0,\qquad
y_0=1,\qquad
h=0.1.
\]
We are required to find the approximate value of
\[
y(0.1).
\]
Step 2: Calculate the slope at the initial point.
Evaluate the function at
\[
(x_0,y_0)=(0,1).
\]
Therefore,
\[
f(0,1)=0^{2}-1=-1.
\]
Thus, the slope of the solution curve at the initial point is
\[
\boxed{-1.}
\]
Step 3: Apply Euler's formula.
Euler's approximation formula is
\[
y_{1}=y_{0}+h\,f(x_{0},y_{0}).
\]
Substituting the known values,
\[
y_{1}
=
1+0.1(-1).
\]
Hence,
\[
y_{1}
=
1-0.1
=
0.9.
\]
Since
\[
x_{1}=x_{0}+h
=0+0.1
=0.1,
\]
we obtain
\[
\boxed{
y(0.1)\approx0.9.
}
\]
Step 4: Write the final answer.
Therefore, using the Simple Euler's Method,
\[
\boxed{
y(0.1)=0.9.
}
\]
Hence, the correct option is
\[
\boxed{\text{(C) }0.9.}
\]