.TH "la_lin_berr" 3 "Wed Feb 7 2024 11:30:40" "Version 3.12.0" "LAPACK" \" -*- nroff -*- .ad l .nh .SH NAME la_lin_berr \- la_lin_berr: backward error .SH SYNOPSIS .br .PP .SS "Functions" .in +1c .ti -1c .RI "subroutine \fBcla_lin_berr\fP (n, nz, nrhs, res, ayb, berr)" .br .RI "\fBCLA_LIN_BERR\fP computes a component-wise relative backward error\&. " .ti -1c .RI "subroutine \fBdla_lin_berr\fP (n, nz, nrhs, res, ayb, berr)" .br .RI "\fBDLA_LIN_BERR\fP computes a component-wise relative backward error\&. " .ti -1c .RI "subroutine \fBsla_lin_berr\fP (n, nz, nrhs, res, ayb, berr)" .br .RI "\fBSLA_LIN_BERR\fP computes a component-wise relative backward error\&. " .ti -1c .RI "subroutine \fBzla_lin_berr\fP (n, nz, nrhs, res, ayb, berr)" .br .RI "\fBZLA_LIN_BERR\fP computes a component-wise relative backward error\&. " .in -1c .SH "Detailed Description" .PP .SH "Function Documentation" .PP .SS "subroutine cla_lin_berr (integer n, integer nz, integer nrhs, complex, dimension( n, nrhs ) res, real, dimension( n, nrhs ) ayb, real, dimension( nrhs ) berr)" .PP \fBCLA_LIN_BERR\fP computes a component-wise relative backward error\&. .PP \fBPurpose:\fP .RS 4 .PP .nf CLA_LIN_BERR computes componentwise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the componentwise absolute value of the matrix or vector Z\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIN\fP .PP .nf N is INTEGER The number of linear equations, i\&.e\&., the order of the matrix A\&. N >= 0\&. .fi .PP .br \fINZ\fP .PP .nf NZ is INTEGER We add (NZ+1)*SLAMCH( 'Safe minimum' ) to R(i) in the numerator to guard against spuriously zero residuals\&. Default value is N\&. .fi .PP .br \fINRHS\fP .PP .nf NRHS is INTEGER The number of right hand sides, i\&.e\&., the number of columns of the matrices AYB, RES, and BERR\&. NRHS >= 0\&. .fi .PP .br \fIRES\fP .PP .nf RES is COMPLEX array, dimension (N,NRHS) The residual matrix, i\&.e\&., the matrix R in the relative backward error formula above\&. .fi .PP .br \fIAYB\fP .PP .nf AYB is REAL array, dimension (N, NRHS) The denominator in the relative backward error formula above, i\&.e\&., the matrix abs(op(A_s))*abs(Y) + abs(B_s)\&. The matrices A, Y, and B are from iterative refinement (see cla_gerfsx_extended\&.f)\&. .fi .PP .br \fIBERR\fP .PP .nf BERR is REAL array, dimension (NRHS) The componentwise relative backward error from the formula above\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP .SS "subroutine dla_lin_berr (integer n, integer nz, integer nrhs, double precision, dimension( n, nrhs ) res, double precision, dimension( n, nrhs ) ayb, double precision, dimension( nrhs ) berr)" .PP \fBDLA_LIN_BERR\fP computes a component-wise relative backward error\&. .PP \fBPurpose:\fP .RS 4 .PP .nf DLA_LIN_BERR computes component-wise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the component-wise absolute value of the matrix or vector Z\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIN\fP .PP .nf N is INTEGER The number of linear equations, i\&.e\&., the order of the matrix A\&. N >= 0\&. .fi .PP .br \fINZ\fP .PP .nf NZ is INTEGER We add (NZ+1)*SLAMCH( 'Safe minimum' ) to R(i) in the numerator to guard against spuriously zero residuals\&. Default value is N\&. .fi .PP .br \fINRHS\fP .PP .nf NRHS is INTEGER The number of right hand sides, i\&.e\&., the number of columns of the matrices AYB, RES, and BERR\&. NRHS >= 0\&. .fi .PP .br \fIRES\fP .PP .nf RES is DOUBLE PRECISION array, dimension (N,NRHS) The residual matrix, i\&.e\&., the matrix R in the relative backward error formula above\&. .fi .PP .br \fIAYB\fP .PP .nf AYB is DOUBLE PRECISION array, dimension (N, NRHS) The denominator in the relative backward error formula above, i\&.e\&., the matrix abs(op(A_s))*abs(Y) + abs(B_s)\&. The matrices A, Y, and B are from iterative refinement (see dla_gerfsx_extended\&.f)\&. .fi .PP .br \fIBERR\fP .PP .nf BERR is DOUBLE PRECISION array, dimension (NRHS) The component-wise relative backward error from the formula above\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP .SS "subroutine sla_lin_berr (integer n, integer nz, integer nrhs, real, dimension( n, nrhs ) res, real, dimension( n, nrhs ) ayb, real, dimension( nrhs ) berr)" .PP \fBSLA_LIN_BERR\fP computes a component-wise relative backward error\&. .PP \fBPurpose:\fP .RS 4 .PP .nf SLA_LIN_BERR computes componentwise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the componentwise absolute value of the matrix or vector Z\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIN\fP .PP .nf N is INTEGER The number of linear equations, i\&.e\&., the order of the matrix A\&. N >= 0\&. .fi .PP .br \fINZ\fP .PP .nf NZ is INTEGER We add (NZ+1)*SLAMCH( 'Safe minimum' ) to R(i) in the numerator to guard against spuriously zero residuals\&. Default value is N\&. .fi .PP .br \fINRHS\fP .PP .nf NRHS is INTEGER The number of right hand sides, i\&.e\&., the number of columns of the matrices AYB, RES, and BERR\&. NRHS >= 0\&. .fi .PP .br \fIRES\fP .PP .nf RES is REAL array, dimension (N,NRHS) The residual matrix, i\&.e\&., the matrix R in the relative backward error formula above\&. .fi .PP .br \fIAYB\fP .PP .nf AYB is REAL array, dimension (N, NRHS) The denominator in the relative backward error formula above, i\&.e\&., the matrix abs(op(A_s))*abs(Y) + abs(B_s)\&. The matrices A, Y, and B are from iterative refinement (see sla_gerfsx_extended\&.f)\&. .fi .PP .br \fIBERR\fP .PP .nf BERR is REAL array, dimension (NRHS) The componentwise relative backward error from the formula above\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP .SS "subroutine zla_lin_berr (integer n, integer nz, integer nrhs, complex*16, dimension( n, nrhs ) res, double precision, dimension( n, nrhs ) ayb, double precision, dimension( nrhs ) berr)" .PP \fBZLA_LIN_BERR\fP computes a component-wise relative backward error\&. .PP \fBPurpose:\fP .RS 4 .PP .nf ZLA_LIN_BERR computes componentwise relative backward error from the formula max(i) ( abs(R(i)) / ( abs(op(A_s))*abs(Y) + abs(B_s) )(i) ) where abs(Z) is the componentwise absolute value of the matrix or vector Z\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIN\fP .PP .nf N is INTEGER The number of linear equations, i\&.e\&., the order of the matrix A\&. N >= 0\&. .fi .PP .br \fINZ\fP .PP .nf NZ is INTEGER We add (NZ+1)*SLAMCH( 'Safe minimum' ) to R(i) in the numerator to guard against spuriously zero residuals\&. Default value is N\&. .fi .PP .br \fINRHS\fP .PP .nf NRHS is INTEGER The number of right hand sides, i\&.e\&., the number of columns of the matrices AYB, RES, and BERR\&. NRHS >= 0\&. .fi .PP .br \fIRES\fP .PP .nf RES is COMPLEX*16 array, dimension (N,NRHS) The residual matrix, i\&.e\&., the matrix R in the relative backward error formula above\&. .fi .PP .br \fIAYB\fP .PP .nf AYB is DOUBLE PRECISION array, dimension (N, NRHS) The denominator in the relative backward error formula above, i\&.e\&., the matrix abs(op(A_s))*abs(Y) + abs(B_s)\&. The matrices A, Y, and B are from iterative refinement (see zla_gerfsx_extended\&.f)\&. .fi .PP .br \fIBERR\fP .PP .nf BERR is DOUBLE PRECISION array, dimension (NRHS) The componentwise relative backward error from the formula above\&. .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP .SH "Author" .PP Generated automatically by Doxygen for LAPACK from the source code\&.