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Table of contents
Procedure
LGRIND (Lagrange polynomial interpolation with derivative)
SUBROUTINE LGRIND ( N, XVALS, YVALS, WORK, X, P, DP )
Abstract
Evaluate a Lagrange interpolating polynomial, for a specified
set of coordinate pairs, at a specified abscissa value. Return
both the value of the polynomial and its derivative.
Required_Reading
None.
Keywords
INTERPOLATION
POLYNOMIAL
Declarations
IMPLICIT NONE
INTEGER N
DOUBLE PRECISION XVALS ( N )
DOUBLE PRECISION YVALS ( N )
DOUBLE PRECISION WORK ( N, 2 )
DOUBLE PRECISION X
DOUBLE PRECISION P
DOUBLE PRECISION DP
Brief_I/O
VARIABLE I/O DESCRIPTION
-------- --- --------------------------------------------------
N I Number of points defining the polynomial.
XVALS I Abscissa values.
YVALS I Ordinate values.
WORK I-O Work space array.
X I Point at which to interpolate the polynomial.
P O Polynomial value at X.
DP O Polynomial derivative at X.
Detailed_Input
N is the number of points defining the polynomial.
The arrays XVALS and YVALS contain N elements.
XVALS,
YVALS are arrays of abscissa and ordinate values that
together define N ordered pairs. The set of points
( XVALS(I), YVALS(I) )
define the Lagrange polynomial used for
interpolation. The elements of XVALS must be
distinct and in increasing order.
WORK is an N * 2 work space array, where N is the same
dimension as that of XVALS and YVALS. It is used
by this routine as a scratch area to hold
intermediate results.
X is the abscissa value at which the interpolating
polynomial is to be evaluated.
Detailed_Output
P is the value at X of the unique polynomial of
degree N-1 that fits the points in the plane
defined by XVALS and YVALS.
DP is the derivative at X of the interpolating
polynomial described above.
Parameters
None.
Exceptions
1) If any two elements of the array XVALS are equal, the error
SPICE(DIVIDEBYZERO) is signaled.
2) If N is less than 1, the error SPICE(INVALIDSIZE) is
signaled.
3) This routine does not attempt to ward off or diagnose
arithmetic overflows.
Files
None.
Particulars
Given a set of N distinct abscissa values and corresponding
ordinate values, there is a unique polynomial of degree N-1, often
called the "Lagrange polynomial", that fits the graph defined by
these values. The Lagrange polynomial can be used to interpolate
the value of a function at a specified point, given a discrete
set of values of the function.
Users of this routine must choose the number of points to use
in their interpolation method. The authors of Reference [1] have
this to say on the topic:
Unless there is solid evidence that the interpolating function
is close in form to the true function F, it is a good idea to
be cautious about high-order interpolation. We
enthusiastically endorse interpolations with 3 or 4 points, we
are perhaps tolerant of 5 or 6; but we rarely go higher than
that unless there is quite rigorous monitoring of estimated
errors.
The same authors offer this warning on the use of the
interpolating function for extrapolation:
...the dangers of extrapolation cannot be overemphasized:
An interpolating function, which is perforce an extrapolating
function, will typically go berserk when the argument X is
outside the range of tabulated values by more than the typical
spacing of tabulated points.
Examples
The numerical results shown for this example may differ across
platforms. The results depend on the SPICE kernels used as
input, the compiler and supporting libraries, and the machine
specific arithmetic implementation.
1) Fit a cubic polynomial through the points
( -1, -2 )
( 0, -7 )
( 1, -8 )
( 3, 26 )
and evaluate this polynomial at X = 2.
The returned value of P should be 1.0, since the
unique cubic polynomial that fits these points is
3 2
F(X) = X + 2*X - 4*X - 7
The returned value of DP should be 16.0, since the
derivative of f(x) is
' 2
F (X) = 3*X + 4*X - 4
Example code begins here.
PROGRAM LGRIND_EX1
IMPLICIT NONE
DOUBLE PRECISION P
DOUBLE PRECISION DP
DOUBLE PRECISION XVALS (4)
DOUBLE PRECISION YVALS (4)
DOUBLE PRECISION WORK (4,2)
INTEGER N
N = 4
XVALS(1) = -1
XVALS(2) = 0
XVALS(3) = 1
XVALS(4) = 3
YVALS(1) = -2
YVALS(2) = -7
YVALS(3) = -8
YVALS(4) = 26
CALL LGRIND ( N, XVALS, YVALS, WORK, 2.D0, P, DP )
WRITE (*,*) 'P, DP = ', P, DP
END
When this program was executed on a Mac/Intel/gfortran/64-bit
platform, the output was:
P, DP = 1.0000000000000000 16.000000000000000
Restrictions
None.
Literature_References
[1] W. Press, B. Flannery, S. Teukolsky and W. Vetterling,
"Numerical Recipes -- The Art of Scientific Computing,"
chapters 3.0 and 3.1, Cambridge University Press, 1986.
Author_and_Institution
N.J. Bachman (JPL)
J. Diaz del Rio (ODC Space)
Version
SPICELIB Version 1.1.0, 26-OCT-2021 (JDR)
Added IMPLICIT NONE statement.
Updated the header to comply with NAIF standard. Added
"IMPLICIT NONE" to code example.
SPICELIB Version 1.0.1, 10-JAN-2014 (NJB)
Updated description of the workspace array: now the array WORK
is not described as being allowed to coincide with the input
YVALS. Such overlap would be a violation of the ANSI Fortran
77 standard. Corrected a spelling error in header
documentation.
SPICELIB Version 1.0.0, 20-AUG-2002 (NJB)
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Fri Dec 31 18:36:30 2021