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larscl2 - larscl2: reciprocal diagonal scale matrix, A = D^{-1} A

Author

Generated automatically by Doxygen for LAPACK from the source code. Version 3.12.0 Thu Aug 7 2025 17:26:25 larscl2(3)

Detailed Description

Function Documentation

subroutineclarscl2(integerm,integern,real,dimension(*)d,complex,dimension(ldx,*)x,integerldx)CLARSCL2 performs reciprocal diagonal scaling on a matrix. Purpose: CLARSCL2 performs a reciprocal diagonal scaling on a matrix: x <-- inv(D) * x where the REAL diagonal matrix D is stored as a vector. Eventually to be replaced by BLAS_cge_diag_scale in the new BLAS standard. ParametersM M is INTEGER The number of rows of D and X. M >= 0. N N is INTEGER The number of columns of X. N >= 0. D D is REAL array, length M Diagonal matrix D, stored as a vector of length M. X X is COMPLEX array, dimension (LDX,N) On entry, the matrix X to be scaled by D. On exit, the scaled matrix. LDX LDX is INTEGER The leading dimension of the matrix X. LDX >= M. Author Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. subroutinedlarscl2(integerm,integern,doubleprecision,dimension(*)d,doubleprecision,dimension(ldx,*)x,integerldx)DLARSCL2 performs reciprocal diagonal scaling on a matrix. Purpose: DLARSCL2 performs a reciprocal diagonal scaling on a matrix: x <-- inv(D) * x where the diagonal matrix D is stored as a vector. Eventually to be replaced by BLAS_dge_diag_scale in the new BLAS standard. ParametersM M is INTEGER The number of rows of D and X. M >= 0. N N is INTEGER The number of columns of X. N >= 0. D D is DOUBLE PRECISION array, dimension (M) Diagonal matrix D, stored as a vector of length M. X X is DOUBLE PRECISION array, dimension (LDX,N) On entry, the matrix X to be scaled by D. On exit, the scaled matrix. LDX LDX is INTEGER The leading dimension of the matrix X. LDX >= M. Author Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. subroutineslarscl2(integerm,integern,real,dimension(*)d,real,dimension(ldx,*)x,integerldx)SLARSCL2 performs reciprocal diagonal scaling on a matrix. Purpose: SLARSCL2 performs a reciprocal diagonal scaling on a matrix: x <-- inv(D) * x where the diagonal matrix D is stored as a vector. Eventually to be replaced by BLAS_sge_diag_scale in the new BLAS standard. ParametersM M is INTEGER The number of rows of D and X. M >= 0. N N is INTEGER The number of columns of X. N >= 0. D D is REAL array, length M Diagonal matrix D, stored as a vector of length M. X X is REAL array, dimension (LDX,N) On entry, the matrix X to be scaled by D. On exit, the scaled matrix. LDX LDX is INTEGER The leading dimension of the matrix X. LDX >= M. Author Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. subroutinezlarscl2(integerm,integern,doubleprecision,dimension(*)d,complex*16,dimension(ldx,*)x,integerldx)ZLARSCL2 performs reciprocal diagonal scaling on a matrix. Purpose: ZLARSCL2 performs a reciprocal diagonal scaling on a matrix: x <-- inv(D) * x where the DOUBLE PRECISION diagonal matrix D is stored as a vector. Eventually to be replaced by BLAS_zge_diag_scale in the new BLAS standard. ParametersM M is INTEGER The number of rows of D and X. M >= 0. N N is INTEGER The number of columns of X. N >= 0. D D is DOUBLE PRECISION array, length M Diagonal matrix D, stored as a vector of length M. X X is COMPLEX*16 array, dimension (LDX,N) On entry, the matrix X to be scaled by D. On exit, the scaled matrix. LDX LDX is INTEGER The leading dimension of the matrix X. LDX >= M. Author Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd.

Name

larscl2 - larscl2: reciprocal diagonal scale matrix, A = D^{-1} A

Synopsis

Functions subroutine clarscl2 (m, n, d, x, ldx) CLARSCL2 performs reciprocal diagonal scaling on a matrix. subroutine dlarscl2 (m, n, d, x, ldx) DLARSCL2 performs reciprocal diagonal scaling on a matrix. subroutine slarscl2 (m, n, d, x, ldx) SLARSCL2 performs reciprocal diagonal scaling on a matrix. subroutine zlarscl2 (m, n, d, x, ldx) ZLARSCL2 performs reciprocal diagonal scaling on a matrix.

See Also