Computing Bézier curve of a high order I have a set of ten points that much be used to compute a Bézier curve.  As you are probably aware, computing a bezier curve of order 9 is a very strenuous activity.  I need it in polynomial form.  I found this section in the wikipedia article on Bezier curves, but it cautioned against using this polynomial formula for higher order curves:
\begin{align}
\begin{split}
B(t) =& \sum \limits_{j=0}^{n}t^{j}C_{j} \\
\text{where} \\
C_j =& \frac{n!}{(n - j)!} \sum \limits_{i=0}^{j} \frac{(-1)^{i+j}P_{i}}{i!(j - i)!}
\end{split}
\end{align}

This could be practical if $C_j$ can be computed prior to many evaluations of $B(t)$; however one should use caution as high order curves may lack numeric stability (de Casteljau's algorithm should be used if this occurs).

My question is therefore, what is the standard way to compute a higher order bezier curve in polynomial form and if so, how?

Your algorithm constructs a cubic spline, which is a string of three cubic Bézier curves joined end-to-end. If you care about the smoothness of the joins, you will need some conditions to ensure this.
In your original question, it's not clear which computation you're worried about. Is it

*

*Calculating the control points of the Bézier curve from the given data points, or

*Converting from Bézier form to "power basis" form, or

*Calculating points on the curve, once it has been constructed

The de Casteljau algorithm's purpose is #3.
All of these have some danger of numerical stability problems, but I wouldn't expect the problems to be very significant when the curve degree is only around 10.
If you want a polynomial curve (expressed using the power basis), then you don't need to use Bézier curves at all. Just compute the power basis coefficients by directly interpolating the given data points. This involves solving a linear system of equations, which might lead to numerical instabilities. But, again, in a $10 \times 10$ system, I wouldn't expect very big problems.
