NAG Library Routine Document
E02DFF
1 Purpose
E02DFF calculates values of a bicubic spline from its B-spline representation. The spline is evaluated at all points on a rectangular grid.
2 Specification
SUBROUTINE E02DFF ( |
MX, MY, PX, PY, X, Y, LAMDA, MU, C, FF, WRK, LWRK, IWRK, LIWRK, IFAIL) |
INTEGER |
MX, MY, PX, PY, LWRK, IWRK(LIWRK), LIWRK, IFAIL |
REAL (KIND=nag_wp) |
X(MX), Y(MY), LAMDA(PX), MU(PY), C((PX-4)*(PY-4)), FF(MX*MY), WRK(LWRK) |
|
3 Description
E02DFF calculates values of the bicubic spline
on a rectangular grid of points in the
-
plane, from its augmented knot sets
and
and from the coefficients
, for
and
, in its B-spline representation
Here and denote normalized cubic B-splines, the former defined on the knots to and the latter on the knots to .
The points in the grid are defined by coordinates , for , along the axis, and coordinates , for , along the axis.
This routine may be used to calculate values of a bicubic spline given in the form produced by
E01DAF,
E02DAF,
E02DCF and
E02DDF. It is derived from the routine B2VRE in
Anthony et al. (1982).
4 References
Anthony G T, Cox M G and Hayes J G (1982) DASL – Data Approximation Subroutine Library National Physical Laboratory
Cox M G (1978) The numerical evaluation of a spline from its B-spline representation J. Inst. Math. Appl. 21 135–143
5 Parameters
- 1: MX – INTEGERInput
- 2: MY – INTEGERInput
On entry:
MX and
MY must specify
and
respectively, the number of points along the
and
axis that define the rectangular grid.
Constraint:
and .
- 3: PX – INTEGERInput
- 4: PY – INTEGERInput
On entry:
PX and
PY must specify the total number of knots associated with the variables
and
respectively. They are such that
and
are the corresponding numbers of interior knots.
Constraint:
and .
- 5: X(MX) – REAL (KIND=nag_wp) arrayInput
- 6: Y(MY) – REAL (KIND=nag_wp) arrayInput
On entry:
X and
Y must contain
, for
, and
, for
, respectively. These are the
and
coordinates that define the rectangular grid of points at which values of the spline are required.
Constraint:
and
Y must satisfy
and
.
The spline representation is not valid outside these intervals.
- 7: LAMDA(PX) – REAL (KIND=nag_wp) arrayInput
- 8: MU(PY) – REAL (KIND=nag_wp) arrayInput
On entry:
LAMDA and
MU must contain the complete sets of knots
and
associated with the
and
variables respectively.
Constraint:
the knots in each set must be in nondecreasing order, with and .
- 9: C() – REAL (KIND=nag_wp) arrayInput
On entry:
must contain the coefficient
described in
Section 3, for
and
.
- 10: FF() – REAL (KIND=nag_wp) arrayOutput
On exit: contains the value of the spline at the point , for and .
- 11: WRK(LWRK) – REAL (KIND=nag_wp) arrayWorkspace
- 12: LWRK – INTEGERInput
On entry: the dimension of the array
WRK as declared in the (sub)program from which E02DFF is called.
Constraint:
.
- 13: IWRK(LIWRK) – INTEGER arrayWorkspace
- 14: LIWRK – INTEGERInput
On entry: the dimension of the array
IWRK as declared in the (sub)program from which E02DFF is called.
Constraints:
- if , ;
- otherwise .
- 15: IFAIL – INTEGERInput/Output
-
On entry:
IFAIL must be set to
,
. If you are unfamiliar with this parameter you should refer to
Section 3.3 in the Essential Introduction for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
is recommended. If the output of error messages is undesirable, then the value
is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is
.
When the value is used it is essential to test the value of IFAIL on exit.
On exit:
unless the routine detects an error or a warning has been flagged (see
Section 6).
6 Error Indicators and Warnings
If on entry
or
, explanatory error messages are output on the current error message unit (as defined by
X04AAF).
Errors or warnings detected by the routine:
On entry, | , |
or | , |
or | , |
or | . |
On entry, | LWRK is too small, |
or | LIWRK is too small. |
On entry, the knots in array
LAMDA, or those in array
MU, are not in nondecreasing order, or
, or
.
On entry, the restriction , or the restriction , is violated.
7 Accuracy
The method used to evaluate the B-splines is numerically stable, in the sense that each computed value of
can be regarded as the value that would have been obtained in exact arithmetic from slightly perturbed B-spline coefficients. See
Cox (1978) for details.
Computation time is approximately proportional to .
9 Example
This example reads in knot sets and , and a set of bicubic spline coefficients . Following these are values for and the coordinates , for , and values for and the coordinates , for , defining the grid of points on which the spline is to be evaluated.
9.1 Program Text
Program Text (e02dffe.f90)
9.2 Program Data
Program Data (e02dffe.d)
9.3 Program Results
Program Results (e02dffe.r)