# NAG C Library Function Document

## 1Purpose

nag_3d_shep_eval (e01thc) evaluates the three-dimensional interpolating function generated by nag_3d_shep_interp (e01tgc) and its first partial derivatives.

## 2Specification

 #include #include
 void nag_3d_shep_eval (Integer m, const double x[], const double y[], const double z[], const double f[], const Integer iq[], const double rq[], Integer n, const double u[], const double v[], const double w[], double q[], double qx[], double qy[], double qz[], NagError *fail)

## 3Description

nag_3d_shep_eval (e01thc) takes as input the interpolant $Q\left(x,y,z\right)$ of a set of scattered data points $\left({x}_{r},{y}_{r},{z}_{r},{f}_{r}\right)$, for $\mathit{r}=1,2,\dots ,m$, as computed by nag_3d_shep_interp (e01tgc), and evaluates the interpolant and its first partial derivatives at the set of points $\left({u}_{i},{v}_{i},{w}_{i}\right)$, for $\mathit{i}=1,2,\dots ,n$.
nag_3d_shep_eval (e01thc) must only be called after a call to nag_3d_shep_interp (e01tgc).
This function is derived from the function QS3GRD described by Renka (1988).

## 4References

Renka R J (1988) Algorithm 661: QSHEP3D: Quadratic Shepard method for trivariate interpolation of scattered data ACM Trans. Math. Software 14 151–152

## 5Arguments

1:    $\mathbf{m}$IntegerInput
2:    $\mathbf{x}\left[{\mathbf{m}}\right]$const doubleInput
3:    $\mathbf{y}\left[{\mathbf{m}}\right]$const doubleInput
4:    $\mathbf{z}\left[{\mathbf{m}}\right]$const doubleInput
5:    $\mathbf{f}\left[{\mathbf{m}}\right]$const doubleInput
On entry: m, x, y, z and f must be the same values as were supplied in the preceding call to nag_3d_shep_interp (e01tgc).
6:    $\mathbf{iq}\left[\mathit{dim}\right]$const IntegerInput
On entry: must be unchanged from the value returned from a previous call to nag_3d_shep_interp (e01tgc).
7:    $\mathbf{rq}\left[\mathit{dim}\right]$const doubleInput
On entry: must be unchanged from the value returned from a previous call to nag_3d_shep_interp (e01tgc).
8:    $\mathbf{n}$IntegerInput
On entry: $n$, the number of evaluation points.
Constraint: ${\mathbf{n}}\ge 1$.
9:    $\mathbf{u}\left[{\mathbf{n}}\right]$const doubleInput
10:  $\mathbf{v}\left[{\mathbf{n}}\right]$const doubleInput
11:  $\mathbf{w}\left[{\mathbf{n}}\right]$const doubleInput
On entry: ${\mathbf{u}}\left[\mathit{i}-1\right]$, ${\mathbf{v}}\left[\mathit{i}-1\right]$, ${\mathbf{w}}\left[\mathit{i}-1\right]$ must be set to the evaluation point $\left({u}_{\mathit{i}},{v}_{\mathit{i}},{w}_{\mathit{i}}\right)$, for $\mathit{i}=1,2,\dots ,n$.
12:  $\mathbf{q}\left[{\mathbf{n}}\right]$doubleOutput
On exit: ${\mathbf{q}}\left[\mathit{i}-1\right]$ contains the value of the interpolant, at $\left({u}_{\mathit{i}},{v}_{\mathit{i}},{w}_{\mathit{i}}\right)$, for $\mathit{i}=1,2,\dots ,n$. If any of these evaluation points lie outside the region of definition of the interpolant the corresponding entries in q are set to the largest machine representable number (see nag_real_largest_number (X02ALC)), and nag_3d_shep_eval (e01thc) returns with ${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_BAD_POINT.
13:  $\mathbf{qx}\left[{\mathbf{n}}\right]$doubleOutput
14:  $\mathbf{qy}\left[{\mathbf{n}}\right]$doubleOutput
15:  $\mathbf{qz}\left[{\mathbf{n}}\right]$doubleOutput
On exit: ${\mathbf{qx}}\left[\mathit{i}-1\right]$, ${\mathbf{qy}}\left[\mathit{i}-1\right]$, ${\mathbf{qz}}\left[\mathit{i}-1\right]$ contains the value of the partial derivatives of the interpolant $Q\left(x,y,z\right)$ at $\left({u}_{\mathit{i}},{v}_{\mathit{i}},{w}_{\mathit{i}}\right)$, for $\mathit{i}=1,2,\dots ,n$. If any of these evaluation points lie outside the region of definition of the interpolant, the corresponding entries in qx, qy and qz are set to the largest machine representable number (see nag_real_largest_number (X02ALC)), and nag_3d_shep_eval (e01thc) returns with ${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_BAD_POINT.
16:  $\mathbf{fail}$NagError *Input/Output
The NAG error argument (see Section 3.7 in How to Use the NAG Library and its Documentation).

## 6Error Indicators and Warnings

NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 2.3.1.2 in How to Use the NAG Library and its Documentation for further information.
On entry, argument $〈\mathit{\text{value}}〉$ had an illegal value.
On entry, at least one evaluation point lies outside the region of definition of the interpolant. At such points the corresponding values in q and qx contain extrapolated approximations. Points should be evaluated one by one to identify extrapolated values.
NE_INT
On entry, ${\mathbf{m}}=〈\mathit{\text{value}}〉$.
Constraint: ${\mathbf{m}}\ge 10$.
On entry, ${\mathbf{n}}=〈\mathit{\text{value}}〉$.
Constraint: ${\mathbf{n}}\ge 1$.
NE_INT_ARRAY
On entry, values in iq appear to be invalid. Check that iq has not been corrupted between calls to nag_3d_shep_interp (e01tgc) and nag_3d_shep_eval (e01thc).
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 2.7.6 in How to Use the NAG Library and its Documentation for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 2.7.5 in How to Use the NAG Library and its Documentation for further information.
NE_REAL_ARRAY
On entry, values in rq appear to be invalid. Check that rq has not been corrupted between calls to nag_3d_shep_interp (e01tgc) and nag_3d_shep_eval (e01thc).

## 7Accuracy

Computational errors should be negligible in most practical situations.

## 8Parallelism and Performance

nag_3d_shep_eval (e01thc) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
nag_3d_shep_eval (e01thc) makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the x06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this function. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

The time taken for a call to nag_3d_shep_eval (e01thc) will depend in general on the distribution of the data points. If x, y and z are approximately uniformly distributed, then the time taken should be only $\mathit{O}\left({\mathbf{n}}\right)$. At worst $\mathit{O}\left({\mathbf{m}}{\mathbf{n}}\right)$ time will be required.