SRC/sgebal.f(3)
π NAME π
okay so this is SRC/sgebal.f(3) from the Library Functions Manual, bestie β¨ It's the page for the LAPACK subroutine sgebal, and it's giving βbalance a general real matrixβ energy.
SRC/sgebal.f β that's the page name, periodt.
β¨ SYNOPSIS β¨
Functions/Subroutines
Functions/Subroutines
subroutine sgebal (job, n, a, lda, ilo, ihi, scale, info)
SGEBAL
π¦ Function/Subroutine Documentation π¦
Here's the signature, copied exactly because we do not play with literals:
subroutine sgebal (character job, integer n, real, dimension( lda, * ) a,
integer lda, integer ilo, integer ihi, real, dimension( * ) scale,
integer info)
SGEBAL
SGEBAL is the main character here π
π― Purpose π―
SGEBAL balances a general real matrix A. The way that works is: first, it permutes A by a similarity transformation to isolate eigenvalues in the first 1 to ILO-1 and last IHI+1 to N elements on the diagonal; and second, it applies a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible. Both steps are optional, no cap.
Balancing may reduce the 1-norm of the matrix, and improve the accuracy of the computed eigenvalues and/or eigenvectors. slay for numerical accuracy π
π Parameters π
JOBβJOB is CHARACTER*1. Specifies the operations to be performed onA:= 'N': none: simply setILO = 1,IHI = N,SCALE(I) = 1.0fori = 1,...,N;= 'P': permute only;= 'S': scale only;= 'B': both permute and scale.
NβN is INTEGER. The order of the matrixA.N >= 0.AβA is REAL array, dimension (LDA,N). On entry, the input matrixA. On exit,Ais overwritten by the balanced matrix. IfJOB = 'N',Ais not referenced. See Further Details.LDAβLDA is INTEGER. The leading dimension of the arrayA.LDA >= max(1,N).ILOβILO is INTEGER.IHIβIHI is INTEGER.ILOandIHIare set to integers such that on exitA(i,j) = 0ifi > jandj = 1,...,ILO-1orI = IHI+1,...,N. IfJOB = 'N'or'S',ILO = 1andIHI = N.SCALEβSCALE is REAL array, dimension (N). Details of the permutations and scaling factors applied toA. IfP(j)is the index of the row and column interchanged with row and columnjandD(j)is the scaling factor applied to row and columnj, then
SCALE(j) = P(j) for j = 1,...,ILO-1
= D(j) for j = ILO,...,IHI
= P(j) for j = IHI+1,...,N.
The order in which the interchanges are made is N to IHI+1, then 1 to ILO-1.
INFOβINFO is INTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-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₯
The permutations consist of row and column interchanges which put the matrix in the form
( T1 X Y )
P A P = ( 0 B Z )
( 0 0 T2 )
where T1 and T2 are upper triangular matrices whose eigenvalues lie along the diagonal. The column indices ILO and IHI mark the starting and ending columns of the submatrix B. Balancing consists of applying a diagonal similarity transformation inv(D) * B * D to make the 1-norms of each row of B and its corresponding column nearly equal. The output matrix is
( T1 X*D Y )
( 0 inv(D)*B*D inv(D)*Z ).
( 0 0 T2 )
Information about the permutations P and the diagonal matrix D is returned in the vector SCALE.
This subroutine is based on the EISPACK routine BALANC.
Modified by Tzu-Yi Chen, Computer Science Division, University of California at Berkeley, USA
Refactored by Evert Provoost, Department of Computer Science, KU Leuven, Belgium
Definition at line 162 of file sgebal.f.
π§ Author π§
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okay byeeee π This footer is giving LAPACK Version 3.12.0 and SRC/sgebal.f(3); the date isn't listed on the page, so I'm not inventing one, bestie π«Άπ
π¦ where this page comes from
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