The function may be called by the names: d02udc or nag_ode_bvp_ps_lin_cgl_deriv.
d02udc differentiates a function discretized on Chebyshev Gauss–Lobatto points on . The polynomial interpolation on Chebyshev points is equivalent to trigonometric interpolation on equally spaced points. Hence the differentiation on the Chebyshev points can be implemented by the Fast Fourier transform (FFT).
Given the function values on Chebyshev Gauss–Lobatto points
, for , is differentiated with respect to by means of forward and backward FFTs on the function values . d02udc returns the computed derivative values
, for . The derivatives are computed with respect to the standard Chebyshev Gauss–Lobatto points on ; for derivatives of a function on the returned values have to be scaled by a factor .
Canuto C, Hussaini M Y, Quarteroni A and Zang T A (2006) Spectral Methods: Fundamentals in Single Domains Springer
Greengard L (1991) Spectral integration and two-point boundary value problems SIAM J. Numer. Anal.28(4) 1071–80
Trefethen L N (2000) Spectral Methods in MATLAB SIAM
On exit: the approximations to the derivatives of the function evaluated at the Chebyshev Gauss–Lobatto points. For functions defined on , the returned derivative values (corresponding to the domain ) must be multiplied by the factor to obtain the correct values on .
4: – NagError *Input/Output
The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).
6Error Indicators and Warnings
Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
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.
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.
The accuracy is close to machine precision for small numbers of grid points, typically less than . For larger numbers of grid points, the error in differentiation grows with the number of grid points. See Greengard (1991) for more details.
8Parallelism and Performance
Background information to multithreading can be found in the Multithreading documentation.
d02udc is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
d02udc 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 number of operations is of the order and the memory requirements are ; thus the computation remains efficient and practical for very fine discretizations (very large values of ).
The function , defined on , is supplied and then differentiated on a grid.