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minor copyediting, improved formatting, added "splines" tag

Defining Boundary Conditions for Spline Interpolation via the Euler–Maclaurin Formula

The Euler–Maclaurin formula states an interdependency between

\begin{align} I\quad:=&\quad\int_m^nf(x) \, dx,\ \ m,n\in\mathbb{Z},\\[6pt] S\quad:=&\quad\sum_{k=m}^n f(k), \\[6pt] D\quad:=&\quad\left\lbrace \frac{d^j}{dx^j} f(m) \right\rbrace \cup \left\lbrace \frac{d^j}{dx^j} f(n) \right\rbrace . \end{align}

The Euler–Maclaurin formula is "traditionally" used to estimate the value of $S$ from $I$ and $D$ and also to estimate $I$ from $S$ and $D$.

Question:
are there examples where the Euler–Maclaurin formula has been beneficially used to fix the values of the derivatives of a function at the endpoints of its integration interval in order to fix the values of the elements of $D$ via $\lbrace I,\left(x_i,y_i\right)_{i=m}^n \rbrace$?

To be specific: have there been attempts to determine the values of the elements of $D$ via the Euler–Maclaurin formula to find "ideal" derivatives for use in clamped spline-interpolation, i.e. where the disambiguation of the interpolation is done via fixing derivatives at the ends of the interpolation interval by plugging the (estimated) value of $I$ and/or the coordinate values of the $\left(x_i,f(x_i)\right)$ into the Euler–Maclaurin formula?

Manfred Weis
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