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NAME
slacn2.f -
SYNOPSIS
Functions/Subroutines subroutine slacn2 (N, V, X, ISGN, EST, KASE, ISAVE) SLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.
Function/Subroutine Documentation
subroutine slacn2 (integerN, real, dimension( * )V, real, dimension( * )X, integer, dimension( * )ISGN, realEST, integerKASE, integer, dimension( 3 )ISAVE) SLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products. Purpose: SLACN2 estimates the 1-norm of a square, real matrix A. Reverse communication is used for evaluating matrix-vector products. Parameters: N N is INTEGER The order of the matrix. N >= 1. V V is REAL array, dimension (N) On the final return, V = A*W, where EST = norm(V)/norm(W) (W is not returned). X X is REAL array, dimension (N) On an intermediate return, X should be overwritten by A * X, if KASE=1, A**T * X, if KASE=2, and SLACN2 must be re-called with all the other parameters unchanged. ISGN ISGN is INTEGER array, dimension (N) EST EST is REAL On entry with KASE = 1 or 2 and ISAVE(1) = 3, EST should be unchanged from the previous call to SLACN2. On exit, EST is an estimate (a lower bound) for norm(A). KASE KASE is INTEGER On the initial call to SLACN2, KASE should be 0. On an intermediate return, KASE will be 1 or 2, indicating whether X should be overwritten by A * X or A**T * X. On the final return from SLACN2, KASE will again be 0. ISAVE ISAVE is INTEGER array, dimension (3) ISAVE is used to save variables between calls to SLACN2 Author: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Date: September 2012 Further Details: Originally named SONEST, dated March 16, 1988. This is a thread safe version of SLACON, which uses the array ISAVE in place of a SAVE statement, as follows: SLACON SLACN2 JUMP ISAVE(1) J ISAVE(2) ITER ISAVE(3) Contributors: Nick Higham, University of Manchester References: N.J. Higham, 'FORTRAN codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation', ACM Trans. Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988. Definition at line 137 of file slacn2.f.
Author
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