#include <math.h>
#include "pdsp_defs.h"
#include "util.h"
int
dlacon_(int *n, double *v, double *x, int *isgn, double *est, int *kase)
{
/* -- LAPACK auxiliary routine (version 2.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
October 31, 1992
Purpose
=======
DLACON estimates the 1-norm of a square, real matrix A.
Reverse communication is used for evaluating matrix-vector products.
Arguments
=========
N (input) INTEGER
The order of the matrix. N >= 1.
V (workspace) DOUBLE PRECISION array, dimension (N)
On the final return, V = A*W, where EST = norm(V)/norm(W)
(W is not returned).
X (input/output) DOUBLE PRECISION array, dimension (N)
On an intermediate return, X should be overwritten by
A * X, if KASE=1,
A' * X, if KASE=2,
and DLACON must be re-called with all the other parameters
unchanged.
ISGN (workspace) INTEGER array, dimension (N)
EST (output) DOUBLE PRECISION
An estimate (a lower bound) for norm(A).
KASE (input/output) INTEGER
On the initial call to DLACON, 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' * X.
On the final return from DLACON, KASE will again be 0.
Further Details
======= =======
Contributed by Nick Higham, University of Manchester.
Originally named SONEST, dated March 16, 1988.
Reference: 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.
=====================================================================
*/
/* Table of constant values */
int c__1 = 1;
double one = 1.;
/* Local variables */
static int iter;
static int jump, jlast;
static double altsgn, estold;
static int i, j;
double temp;
extern int dcopy_(int *, double *, int *, double *, int *);
extern int idamax_(int *, double *, int *);
extern double dasum_(int *, double *, int *);
#define d_sign(a, b) (b >= 0 ? fabs(a) : -fabs(a)) /* Copy sign */
#define i_dnnt(a) \
( a>=0 ? floor(a+.5) : -floor(.5-a) ) /* Round to nearest integer */
if ( *kase == 0 ) {
for (i = 0; i < *n; ++i)
x[i] = 1. / (double) (*n);
*kase = 1;
jump = 1;
return 0;
}
switch (jump) {
case 1: goto L20;
case 2: goto L40;
case 3: goto L70;
case 4: goto L110;
case 5: goto L140;
}
/* ................ ENTRY (JUMP = 1)
FIRST ITERATION. X HAS BEEN OVERWRITTEN BY A*X. */
L20:
if (*n == 1) {
v[0] = x[0];
*est = fabs(v[0]);
/* ... QUIT */
goto L150;
}
*est = dasum_(n, x, &c__1);
for (i = 0; i < *n; ++i) {
x[i] = d_sign(one, x[i]);
isgn[i] = i_dnnt(x[i]);
}
*kase = 2;
jump = 2;
return 0;
/* ................ ENTRY (JUMP = 2)
FIRST ITERATION. X HAS BEEN OVERWRITTEN BY TRANSPOSE(A)*X. */
L40:
j = idamax_(n, &x[0], &c__1);
--j;
iter = 2;
/* MAIN LOOP - ITERATIONS 2,3,...,ITMAX. */
L50:
for (i = 0; i < *n; ++i) x[i] = 0.;
x[j] = 1.;
*kase = 1;
jump = 3;
return 0;
/* ................ ENTRY (JUMP = 3)
X HAS BEEN OVERWRITTEN BY A*X. */
L70:
dcopy_(n, &x[0], &c__1, &v[0], &c__1);
estold = *est;
*est = dasum_(n, v, &c__1);
for (i = 0; i < *n; ++i)
if (i_dnnt(d_sign(one, x[i])) != isgn[i])
goto L90;
/* REPEATED SIGN VECTOR DETECTED, HENCE ALGORITHM HAS CONVERGED. */
goto L120;
L90:
/* TEST FOR CYCLING. */
if (*est <= estold) goto L120;
for (i = 0; i < *n; ++i) {
x[i] = d_sign(one, x[i]);
isgn[i] = i_dnnt(x[i]);
}
*kase = 2;
jump = 4;
return 0;
/* ................ ENTRY (JUMP = 4)
X HAS BEEN OVERWRITTEN BY TRANDPOSE(A)*X. */
L110:
jlast = j;
j = idamax_(n, &x[0], &c__1);
--j;
if (x[jlast] != fabs(x[j]) && iter < 5) {
++iter;
goto L50;
}
/* ITERATION COMPLETE. FINAL STAGE. */
L120:
altsgn = 1.;
for (i = 1; i <= *n; ++i) {
x[i-1] = altsgn * ((double) (i - 1) / (double) (*n - 1) + 1.);
altsgn = -altsgn;
}
*kase = 1;
jump = 5;
return 0;
/* ................ ENTRY (JUMP = 5)
X HAS BEEN OVERWRITTEN BY A*X. */
L140:
temp = dasum_(n, x, &c__1) / (double) (*n * 3) * 2.;
if (temp > *est) {
dcopy_(n, &x[0], &c__1, &v[0], &c__1);
*est = temp;
}
L150:
*kase = 0;
return 0;
} /* dlacon_ */
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