la_lapack_solve_aux.f90 File Reference

Modules
module	la_lapack_solve_aux
	Linear solve helpers: condition estimation, componentwise backward error.

Functions/Subroutines
pure subroutine, public	la_lapack_solve_aux::la_slacn2 (n, v, x, isgn, est, kase, isave)
	SLACN2: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
pure subroutine, public	la_lapack_solve_aux::la_dlacn2 (n, v, x, isgn, est, kase, isave)
	DLACN2: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
pure subroutine, public	la_lapack_solve_aux::la_qlacn2 (n, v, x, isgn, est, kase, isave)
	QLACN2: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_slacon (n, v, x, isgn, est, kase)
	SLACON: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_dlacon (n, v, x, isgn, est, kase)
	DLACON: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_qlacon (n, v, x, isgn, est, kase)
	QLACON: estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products.
pure subroutine, public	la_lapack_solve_aux::la_sla_lin_berr (n, nz, nrhs, res, ayb, berr)
	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.
pure subroutine, public	la_lapack_solve_aux::la_dla_lin_berr (n, nz, nrhs, res, ayb, berr)
	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.
pure subroutine, public	la_lapack_solve_aux::la_qla_lin_berr (n, nz, nrhs, res, ayb, berr)
	QLA_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.
pure subroutine, public	la_lapack_solve_aux::la_cla_lin_berr (n, nz, nrhs, res, ayb, berr)
	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.
pure subroutine, public	la_lapack_solve_aux::la_zla_lin_berr (n, nz, nrhs, res, ayb, berr)
	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.
pure subroutine, public	la_lapack_solve_aux::la_wla_lin_berr (n, nz, nrhs, res, ayb, berr)
	WLA_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.
pure subroutine, public	la_lapack_solve_aux::la_clacn2 (n, v, x, est, kase, isave)
	CLACN2: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.
pure subroutine, public	la_lapack_solve_aux::la_zlacn2 (n, v, x, est, kase, isave)
	ZLACN2: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.
pure subroutine, public	la_lapack_solve_aux::la_wlacn2 (n, v, x, est, kase, isave)
	WLACN2: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_clacon (n, v, x, est, kase)
	CLACON: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_zlacon (n, v, x, est, kase)
	ZLACON: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.
subroutine, public	la_lapack_solve_aux::la_wlacon (n, v, x, est, kase)
	WLACON: estimates the 1-norm of a square, complex matrix A. Reverse communication is used for evaluating matrix-vector products.