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NAG FL Interface
f06guf (zgthr)

NAG Library Manual, Mark 28.4
Interfaces:  FL   CL   CPP   AD   PY   MB 
NAG FL Interface Introduction
F06 (Blas) Chapter Contents
F06 (Blas) Chapter Introduction
f06gu:  FL   CL   CPP   AD   PY   MB 

▸▿ Contents

© The Numerical Algorithms Group Ltd. 2022
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1 Purpose

f06guf gathers specified (usually nonzero) elements of a complex vector y in full storage form into a sparse complex vector x in compressed form.

2 Specification

Fortran Interface
Subroutine f06guf ( nz, y, x, indx)
Integer, Intent (In) :: nz, indx(*)
Complex (Kind=nag_wp), Intent (In) :: y(*)
Complex (Kind=nag_wp), Intent (Inout) :: x(*)
C Header Interface
#include <nag.h>
void  f06guf_ (const Integer *nz, const Complex y[], Complex x[], const Integer indx[])
The routine may be called by the names f06guf, nagf_blas_zgthr or its BLAS name zgthr.

3 Description

None.

4 References

Dodson D S, Grimes R G and Lewis J G (1991) Sparse extensions to the Fortran basic linear algebra subprograms ACM Trans. Math. Software 17 253–263

5 Arguments

1: nz – Integer Input
On entry: the number of nonzeros in the sparse vector x.
2: y(*) – Complex (Kind=nag_wp) array Input
Note: the dimension of the array y must be at least maxk{indx(k)} .
On entry: the vector y. Only elements corresponding to indices in indx are accessed.
3: x(*) – Complex (Kind=nag_wp) array Output
Note: the dimension of the array x must be at least max(1,nz).
On exit: the compressed vector x.
4: indx(*) – Integer array Input
Note: the dimension of the array indx must be at least max(1,nz) .
On entry: indx must contain the set of indices J.

6 Error Indicators and Warnings

None.

7 Accuracy

Not applicable.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
f06guf is not threaded in any implementation.

9 Further Comments

None.

10 Example

None.
NAG Library Manual, Mark 28.4
Interfaces:  FL   CL   CPP   AD   PY   MB 
NAG FL Interface Introduction
F06 (Blas) Chapter Contents
F06 (Blas) Chapter Introduction
f06gu:  FL   CL   CPP   AD   PY   MB 
© The Numerical Algorithms Group Ltd. 2022