SRC/zlatrs.f(3)
π
SRC/zlatrs.f(3) β Library Functions Manual π
πΈ NAME πΈ
SRC/zlatrs.f
π¦ SYNOPSIS π¦
Functions/Subroutines
subroutine zlatrsβ ZLATRS solves a triangular system of equations with the scale factor set to prevent overflow.
subroutine zlatrs (uplo, trans, diag, normin, n, a, lda, x, scale,
cnorm, info)
β¨ Function/Subroutine Documentation β¨
π subroutine zlatrs π
subroutine zlatrs (character uplo, character trans, character diag,
character normin, integer n, complex*16, dimension( lda, * ) a, integer
lda, complex*16, dimension( * ) x, double precision scale, double
precision, dimension( * ) cnorm, integer info)
ZLATRS solves a triangular system of equations with the scale factor set to prevent overflow.
π Purpose π
okay so bestie, here's the vibe: ZLATRS solves one of these triangular systems
A * x = s*b, A**T * x = s*b, or A**H * x = s*b,
with scaling to prevent overflow. Here A is an upper or lower triangular matrix, A**T denotes the transpose of A, A**H denotes the conjugate transpose of A, x and b are n-element vectors, and s is a scaling factor, usually less than or equal to 1, chosen so that the components of x will be less than the overflow threshold. If the unscaled problem will not cause overflow, the Level 2 BLAS routine ZTRSV is called. If the matrix A is singular (A(j,j) = 0 for some j), then s is set to 0 and a non-trivial solution to A*x = 0 is returned.
no cap, that singular case matters:sgoes to 0 and you get a non-trivial solution toA*x = 0. π
π Parameters π
UPLOβCHARACTER*1. Tells you whether matrix A is upper or lower triangular.= 'U': Upper triangular= 'L': Lower triangular
TRANSβCHARACTER*1. Says which operation is applied to A.= 'N': Solve A * x = s*b (No transpose)= 'T': Solve A**T * x = s*b (Transpose)= 'C': Solve A**H * x = s*b (Conjugate transpose)
DIAGβCHARACTER*1. Says whether or not matrix A is unit triangular.= 'N': Non-unit triangular= 'U': Unit triangular
NORMINβCHARACTER*1. Says whetherCNORMhas already been set or not.= 'Y': CNORM contains the column norms on entry= 'N': CNORM is not set on entry. On exit, the norms will be computed and stored in CNORM.
NβINTEGER. The order of matrix A.N >= 0.AβCOMPLEX*16 array, dimension (LDA,N). The triangular matrix A. IfUPLO = 'U', the leading n by n upper triangular part of the array A contains the upper triangular matrix, and the strictly lower triangular part of A is not referenced. IfUPLO = 'L', the leading n by n lower triangular part of the array A contains the lower triangular matrix, and the strictly upper triangular part of A is not referenced. IfDIAG = 'U', the diagonal elements of A are also not referenced and are assumed to be 1.LDAβINTEGER. The leading dimension of the array A.LDA >= max (1,N).XβCOMPLEX*16 array, dimension (N). On entry, the right hand side b of the triangular system. On exit, X is overwritten by the solution vector x.SCALEβDOUBLE PRECISION. The scaling factor s for the triangular systemA * x = s*b,A**T * x = s*b, orA**H * x = s*b. IfSCALE = 0, the matrix A is singular or badly scaled, and the vector x is an exact or approximate solution toA*x = 0.CNORMβDOUBLE PRECISION array, dimension (N).- If
NORMIN = 'Y', CNORM is an input argument andCNORM(j)contains the norm of the off-diagonal part of the j-th column of A. IfTRANS = 'N',CNORM(j)must be greater than or equal to the infinity-norm, and ifTRANS = 'T'or'C',CNORM(j)must be greater than or equal to the 1-norm. - If
NORMIN = 'N', CNORM is an output argument andCNORM(j)returns the 1-norm of the offdiagonal part of the j-th column of A.
- If
INFOβINTEGER.= 0: successful exit< 0: if INFO = -k, the k-th argument had an illegal value
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π₯ Further Details π₯
A rough bound on x is computed; if that is less than overflow, ZTRSV is called, otherwise, specific code is used which checks for possible overflow or divide-by-zero at every operation.
A columnwise scheme is used for solving A*x = b. The basic algorithm if A is lower triangular is
x[1:n] := b[1:n]
for j = 1, ..., n
x(j) := x(j) / A(j,j)
x[j+1:n] := x[j+1:n] - x(j) * A[j+1:n,j]
end
Define bounds on the components of x after j iterations of the loop:
M(j) = bound on x[1:j]
G(j) = bound on x[j+1:n]
Initially, let M(0) = 0 and G(0) = max{x(i), i=1,...,n}.
Then for iteration j+1 we have
M(j+1) <= G(j) / | A(j+1,j+1) |
G(j+1) <= G(j) + M(j+1) * | A[j+2:n,j+1] |
<= G(j) ( 1 + CNORM(j+1) / | A(j+1,j+1) | )
where CNORM(j+1) is greater than or equal to the infinity-norm of column j+1 of A, not counting the diagonal. Hence
G(j) <= G(0) product ( 1 + CNORM(i) / | A(i,i) | )
1<=i<=j
and
|x(j)| <= ( G(0) / |A(j,j)| ) product ( 1 + CNORM(i) / |A(i,i)| )
1<=i< j
Since |x(j)| <= M(j), we use the Level 2 BLAS routine ZTRSV if the reciprocal of the largest M(j), j=1,..,n, is larger than max(underflow, 1/overflow).
The bound on x(j) is also used to determine when a step in the columnwise method can be performed without fear of overflow. If the computed bound is greater than a large constant, x is scaled to prevent overflow, but if the bound overflows, x is set to 0, x(j) to 1, and scale to 0, and a non-trivial solution to A*x = 0 is found.
Similarly, a row-wise scheme is used to solve A**T *x = b or A**H *x = b. The basic algorithm for A upper triangular is
for j = 1, ..., n
x(j) := ( b(j) - A[1:j-1,j]' * x[1:j-1] ) / A(j,j)
end
We simultaneously compute two bounds
G(j) = bound on ( b(i) - A[1:i-1,i]' * x[1:i-1] ), 1<=i<=j
M(j) = bound on x(i), 1<=i<=j
The initial values are G(0) = 0, M(0) = max{b(i), i=1,..,n}, and we add the constraint G(j) >= G(j-1) and M(j) >= M(j-1) for j >= 1. Then the bound on x(j) is
M(j) <= M(j-1) * ( 1 + CNORM(j) ) / | A(j,j) |
<= M(0) * product ( ( 1 + CNORM(i) ) / |A(i,i)| )
1<=i<=j
and we can safely call ZTRSV if 1/M(n) and 1/G(n) are both greater than max(underflow, 1/overflow).
Definition at line 237 of file zlatrs.f.
β Author β
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