clacn2.f(3) LAPACK clacn2.f(3)[top]NAMEclacn2.f-SYNOPSISFunctions/Subroutines subroutine clacn2 (N, V, X, EST, KASE, ISAVE) CLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.Function/Subroutine Documentation subroutine clacn2 (integerN, complex, dimension( * )V, complex, dimension( * )X, realEST, integerKASE, integer, dimension( 3 )ISAVE) CLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products. Purpose: CLACN2 estimates the 1-norm of a square, complex 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 COMPLEX array, dimension (N) On the final return, V = A*W, where EST = norm(V)/norm(W) (W is not returned). X X is COMPLEX array, dimension (N) On an intermediate return, X should be overwritten by A * X, if KASE=1, A**H * X, if KASE=2, where A**H is the conjugate transpose of A, and CLACN2 must be re-called with all the other parameters unchanged. EST EST is REAL On entry with KASE = 1 or 2 and ISAVE(1) = 3, EST should be unchanged from the previous call to CLACN2. On exit, EST is an estimate (a lower bound) for norm(A). KASE KASE is INTEGER On the initial call to CLACN2, 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**H * X. On the final return from CLACN2, 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 CONEST, dated March 16, 1988. Last modified: April, 1999 This is a thread safe version of CLACON, which uses the array ISAVE in place of a SAVE statement, as follows: CLACON CLACN2 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 134 of file clacn2.f.AuthorGenerated automatically by Doxygen for LAPACK from the source code.Version 3.4.2Tue Sep 25 2012 clacn2.f(3)

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