The function also returns a number whose absolute value is the final reference deviation (see Section 5). The function is an adaptation of Boothroyd (1967).

4 References

Boothroyd J B (1967) Algorithm 318 Comm. ACM 10 801

Stieffel E (1959) Numerical methods of Tchebycheff approximation On Numerical Approximation (ed R E Langer) 217–232 University of Wisconsin Press

5 Arguments

1: $n$ – Integer Input: On entry: $n$ , the number of data points.

Constraint: $n \geq 1$ .
2: $x [n]$ – const double Input: On entry: the values of the $x$ coordinates, $x_{i}$ , for $i = 1, 2, \dots, n$ .

Constraint: $x_{1} < x_{2} < \dots < x_{n}$ .
3: $y [n]$ – const double Input: On entry: the values of the $y$ coordinates, $y_{i}$ , for $i = 1, 2, \dots, n$ .
4: $m$ – Integer Input: On entry: $m$ , where $m$ is the degree of the polynomial to be found.

Constraint: $0 \leq m < \min (100, n - 1)$ .
5: $a [m + 1]$ – double Output: On exit: the coefficients $a_{i}$ of the minimax polynomial, for $i = 0, 1, \dots, m$ .
6: $ref$ – double * Output: On exit: the final reference deviation, i.e., the maximum deviation of the computed polynomial evaluated at $x_{i}$ from the reference values $y_{i}$ , for $i = 1, 2, \dots, n$ . ref may return a negative value which indicates that the algorithm started to cycle due to round-off errors.
7: $fail$ – NagError * Input/Output: The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).

6 Error Indicators and Warnings

NE_ALLOC_FAIL: Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM: On entry, argument $⟨ value ⟩$ had an illegal value.
NE_INT: On entry, $m = ⟨ value ⟩$ .
Constraint: $m < 100$ .

On entry, $m = ⟨ value ⟩$ .
Constraint: $m \geq 0$ .

On entry, $n = ⟨ value ⟩$ .
Constraint: $n \geq 1$ .
NE_INT_2: On entry, $m = ⟨ value ⟩$ and $n = ⟨ value ⟩$ .
Constraint: $m < n - 1$ .
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 7.5 in the Introduction to the NAG Library CL Interface for further information.
NE_NO_LICENCE: Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.
NE_NOT_STRICTLY_INCREASING: On entry, $i = ⟨ value ⟩$ , $x [i] = ⟨ value ⟩$ and $x [i - 1] = ⟨ value ⟩$ .
Constraint: $x [i] > x [i - 1]$ .

7 Accuracy

This is dependent on the given data points and on the degree of the polynomial. The data points should represent a fairly smooth function which does not contain regions with markedly different behaviours. For large numbers of data points (

n > 100

, say), rounding error will affect the computation regardless of the quality of the data; in this case, relatively small degree polynomials (

m ≪ \sqrt{n}

) may be used when this is consistent with the required approximation. A limit of

99

is placed on the degree of polynomial since it is known from experiment that a complete loss of accuracy often results from using such high degree polynomials in this form of the algorithm.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.

e02alc 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.

9 Further Comments

The time taken increases with

m

10 Example

This example calculates a minimax fit with a polynomial of degree

5

to the exponential function evaluated at

21

points over the interval

[0, 1]

. It then prints values of the function and the fitted polynomial.

e02al: FL CL CPP AD PY MB

NAG CL Interfacee02alc (dim1_​minimax_​polynomial)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

NAG CL Interface
e02alc (dim1_minimax_polynomial)