NAG FL Interface
f07hnf (zpbsv)

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1 Purpose

f07hnf computes the solution to a complex system of linear equations
AX=B ,  
where A is an n×n Hermitian positive definite band matrix of bandwidth (2kd+1) and X and B are n×r matrices.

2 Specification

Fortran Interface
Subroutine f07hnf ( uplo, n, kd, nrhs, ab, ldab, b, ldb, info)
Integer, Intent (In) :: n, kd, nrhs, ldab, ldb
Integer, Intent (Out) :: info
Complex (Kind=nag_wp), Intent (Inout) :: ab(ldab,*), b(ldb,*)
Character (1), Intent (In) :: uplo
C Header Interface
#include <nag.h>
void  f07hnf_ (const char *uplo, const Integer *n, const Integer *kd, const Integer *nrhs, Complex ab[], const Integer *ldab, Complex b[], const Integer *ldb, Integer *info, const Charlen length_uplo)
The routine may be called by the names f07hnf, nagf_lapacklin_zpbsv or its LAPACK name zpbsv.

3 Description

f07hnf uses the Cholesky decomposition to factor A as A=UHU if uplo='U' or A=LLH if uplo='L', where U is an upper triangular band matrix, and L is a lower triangular band matrix, with the same number of superdiagonals or subdiagonals as A. The factored form of A is then used to solve the system of equations AX=B.

4 References

Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia https://www.netlib.org/lapack/lug
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5 Arguments

1: uplo Character(1) Input
On entry: if uplo='U', the upper triangle of A is stored.
If uplo='L', the lower triangle of A is stored.
Constraint: uplo='U' or 'L'.
2: n Integer Input
On entry: n, the number of linear equations, i.e., the order of the matrix A.
Constraint: n0.
3: kd Integer Input
On entry: kd, the number of superdiagonals of the matrix A if uplo='U', or the number of subdiagonals if uplo='L'.
Constraint: kd0.
4: nrhs Integer Input
On entry: r, the number of right-hand sides, i.e., the number of columns of the matrix B.
Constraint: nrhs0.
5: ab(ldab,*) Complex (Kind=nag_wp) array Input/Output
Note: the second dimension of the array ab must be at least max(1,n).
On entry: the upper or lower triangle of the Hermitian band matrix A.
The matrix is stored in rows 1 to kd+1, more precisely,
  • if uplo='U', the elements of the upper triangle of A within the band must be stored with element Aij in ab(kd+1+i-j,j)​ for ​max(1,j-kd)ij;
  • if uplo='L', the elements of the lower triangle of A within the band must be stored with element Aij in ab(1+i-j,j)​ for ​jimin(n,j+kd).
On exit: if info=0, the triangular factor U or L from the Cholesky factorization A=UHU or A=LLH of the band matrix A, in the same storage format as A.
6: ldab Integer Input
On entry: the first dimension of the array ab as declared in the (sub)program from which f07hnf is called.
Constraint: ldabkd+1.
7: b(ldb,*) Complex (Kind=nag_wp) array Input/Output
Note: the second dimension of the array b must be at least max(1,nrhs).
On entry: the n×r right-hand side matrix B.
On exit: if info=0, the n×r solution matrix X.
8: ldb Integer Input
On entry: the first dimension of the array b as declared in the (sub)program from which f07hnf is called.
Constraint: ldbmax(1,n).
9: info Integer Output
On exit: info=0 unless the routine detects an error (see Section 6).

6 Error Indicators and Warnings

info<0
If info=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.
info>0
The leading minor of order value of A is not positive definite, so the factorization could not be completed, and the solution has not been computed.

7 Accuracy

The computed solution for a single right-hand side, x^ , satisfies an equation of the form
(A+E) x^=b ,  
where
E1 = O(ε) A1  
and ε is the machine precision. An approximate error bound for the computed solution is given by
x^-x1 x1 κ(A) E1 A1 ,  
where κ(A) = A-11 A1 , the condition number of A with respect to the solution of the linear equations. See Section 4.4 of Anderson et al. (1999) for further details.
f07hpf is a comprehensive LAPACK driver that returns forward and backward error bounds and an estimate of the condition number. Alternatively, f04cff solves Ax=b and returns a forward error bound and condition estimate. f04cff calls f07hnf to solve the equations.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
f07hnf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f07hnf 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 routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

When nk , the total number of floating-point operations is approximately 4n(k+1)2+16nkr , where k is the number of superdiagonals and r is the number of right-hand sides.
The real analogue of this routine is f07haf.

10 Example

This example solves the equations
Ax=b ,  
where A is the Hermitian positive definite band matrix
A = ( 9.39i+0.00 1.08-1.73i 0.00i+0.00 0.00i+0.00 1.08+1.73i 1.69i+0.00 -0.04+0.29i 0.00i+0.00 0.00i+0.00 -0.04-0.29i 2.65i+0.00 -0.33+2.24i 0.00i+0.00 0.00i+0.00 -0.33-2.24i 2.17i+0.00 )  
and
b = ( -12.42+68.42i -9.93+00.88i -27.30-00.01i 5.31+23.63i ) .  
Details of the Cholesky factorization of A are also output.

10.1 Program Text

Program Text (f07hnfe.f90)

10.2 Program Data

Program Data (f07hnfe.d)

10.3 Program Results

Program Results (f07hnfe.r)