/* ctbmv.f -- translated by f2c (version 20100827).
You must link the resulting object file with libf2c:
on Microsoft Windows system, link with libf2c.lib;
on Linux or Unix systems, link with .../path/to/libf2c.a -lm
or, if you install libf2c.a in a standard place, with -lf2c -lm
-- in that order, at the end of the command line, as in
cc *.o -lf2c -lm
Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
http://www.netlib.org/f2c/libf2c.zip
*/
#include "datatypes.h"
/* Subroutine */ int ctbmv_(char *uplo, char *trans, char *diag, integer *n,
integer *k, complex *a, integer *lda, complex *x, integer *incx,
ftnlen uplo_len, ftnlen trans_len, ftnlen diag_len)
{
/* System generated locals */
integer a_dim1, a_offset, i__1, i__2, i__3, i__4, i__5;
complex q__1, q__2, q__3;
/* Builtin functions */
void r_cnjg(complex *, complex *);
/* Local variables */
integer i__, j, l, ix, jx, kx, info;
complex temp;
extern logical lsame_(char *, char *, ftnlen, ftnlen);
integer kplus1;
extern /* Subroutine */ int xerbla_(char *, integer *, ftnlen);
logical noconj, nounit;
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CTBMV performs one of the matrix-vector operations */
/* x := A*x, or x := A'*x, or x := conjg( A' )*x, */
/* where x is an n element vector and A is an n by n unit, or non-unit, */
/* upper or lower triangular band matrix, with ( k + 1 ) diagonals. */
/* Arguments */
/* ========== */
/* UPLO - CHARACTER*1. */
/* On entry, UPLO specifies whether the matrix is an upper or */
/* lower triangular matrix as follows: */
/* UPLO = 'U' or 'u' A is an upper triangular matrix. */
/* UPLO = 'L' or 'l' A is a lower triangular matrix. */
/* Unchanged on exit. */
/* TRANS - CHARACTER*1. */
/* On entry, TRANS specifies the operation to be performed as */
/* follows: */
/* TRANS = 'N' or 'n' x := A*x. */
/* TRANS = 'T' or 't' x := A'*x. */
/* TRANS = 'C' or 'c' x := conjg( A' )*x. */
/* Unchanged on exit. */
/* DIAG - CHARACTER*1. */
/* On entry, DIAG specifies whether or not A is unit */
/* triangular as follows: */
/* DIAG = 'U' or 'u' A is assumed to be unit triangular. */
/* DIAG = 'N' or 'n' A is not assumed to be unit */
/* triangular. */
/* Unchanged on exit. */
/* N - INTEGER. */
/* On entry, N specifies the order of the matrix A. */
/* N must be at least zero. */
/* Unchanged on exit. */
/* K - INTEGER. */
/* On entry with UPLO = 'U' or 'u', K specifies the number of */
/* super-diagonals of the matrix A. */
/* On entry with UPLO = 'L' or 'l', K specifies the number of */
/* sub-diagonals of the matrix A. */
/* K must satisfy 0 .le. K. */
/* Unchanged on exit. */
/* A - COMPLEX array of DIMENSION ( LDA, n ). */
/* Before entry with UPLO = 'U' or 'u', the leading ( k + 1 ) */
/* by n part of the array A must contain the upper triangular */
/* band part of the matrix of coefficients, supplied column by */
/* column, with the leading diagonal of the matrix in row */
/* ( k + 1 ) of the array, the first super-diagonal starting at */
/* position 2 in row k, and so on. The top left k by k triangle */
/* of the array A is not referenced. */
/* The following program segment will transfer an upper */
/* triangular band matrix from conventional full matrix storage */
/* to band storage: */
/* DO 20, J = 1, N */
/* M = K + 1 - J */
/* DO 10, I = MAX( 1, J - K ), J */
/* A( M + I, J ) = matrix( I, J ) */
/* 10 CONTINUE */
/* 20 CONTINUE */
/* Before entry with UPLO = 'L' or 'l', the leading ( k + 1 ) */
/* by n part of the array A must contain the lower triangular */
/* band part of the matrix of coefficients, supplied column by */
/* column, with the leading diagonal of the matrix in row 1 of */
/* the array, the first sub-diagonal starting at position 1 in */
/* row 2, and so on. The bottom right k by k triangle of the */
/* array A is not referenced. */
/* The following program segment will transfer a lower */
/* triangular band matrix from conventional full matrix storage */
/* to band storage: */
/* DO 20, J = 1, N */
/* M = 1 - J */
/* DO 10, I = J, MIN( N, J + K ) */
/* A( M + I, J ) = matrix( I, J ) */
/* 10 CONTINUE */
/* 20 CONTINUE */
/* Note that when DIAG = 'U' or 'u' the elements of the array A */
/* corresponding to the diagonal elements of the matrix are not */
/* referenced, but are assumed to be unity. */
/* Unchanged on exit. */
/* LDA - INTEGER. */
/* On entry, LDA specifies the first dimension of A as declared */
/* in the calling (sub) program. LDA must be at least */
/* ( k + 1 ). */
/* Unchanged on exit. */
/* X - COMPLEX array of dimension at least */
/* ( 1 + ( n - 1 )*abs( INCX ) ). */
/* Before entry, the incremented array X must contain the n */
/* element vector x. On exit, X is overwritten with the */
/* tranformed vector x. */
/* INCX - INTEGER. */
/* On entry, INCX specifies the increment for the elements of */
/* X. INCX must not be zero. */
/* Unchanged on exit. */
/* Further Details */
/* =============== */
/* Level 2 Blas routine. */
/* -- Written on 22-October-1986. */
/* Jack Dongarra, Argonne National Lab. */
/* Jeremy Du Croz, Nag Central Office. */
/* Sven Hammarling, Nag Central Office. */
/* Richard Hanson, Sandia National Labs. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* Test the input parameters. */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--x;
/* Function Body */
info = 0;
if (! lsame_(uplo, "U", (ftnlen)1, (ftnlen)1) && ! lsame_(uplo, "L", (
ftnlen)1, (ftnlen)1)) {
info = 1;
} else if (! lsame_(trans, "N", (ftnlen)1, (ftnlen)1) && ! lsame_(trans,
"T", (ftnlen)1, (ftnlen)1) && ! lsame_(trans, "C", (ftnlen)1, (
ftnlen)1)) {
info = 2;
} else if (! lsame_(diag, "U", (ftnlen)1, (ftnlen)1) && ! lsame_(diag,
"N", (ftnlen)1, (ftnlen)1)) {
info = 3;
} else if (*n < 0) {
info = 4;
} else if (*k < 0) {
info = 5;
} else if (*lda < *k + 1) {
info = 7;
} else if (*incx == 0) {
info = 9;
}
if (info != 0) {
xerbla_("CTBMV ", &info, (ftnlen)6);
return 0;
}
/* Quick return if possible. */
if (*n == 0) {
return 0;
}
noconj = lsame_(trans, "T", (ftnlen)1, (ftnlen)1);
nounit = lsame_(diag, "N", (ftnlen)1, (ftnlen)1);
/* Set up the start point in X if the increment is not unity. This */
/* will be ( N - 1 )*INCX too small for descending loops. */
if (*incx <= 0) {
kx = 1 - (*n - 1) * *incx;
} else if (*incx != 1) {
kx = 1;
}
/* Start the operations. In this version the elements of A are */
/* accessed sequentially with one pass through A. */
if (lsame_(trans, "N", (ftnlen)1, (ftnlen)1)) {
/* Form x := A*x. */
if (lsame_(uplo, "U", (ftnlen)1, (ftnlen)1)) {
kplus1 = *k + 1;
if (*incx == 1) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = j;
if (x[i__2].r != 0.f || x[i__2].i != 0.f) {
i__2 = j;
temp.r = x[i__2].r, temp.i = x[i__2].i;
l = kplus1 - j;
/* Computing MAX */
i__2 = 1, i__3 = j - *k;
i__4 = j - 1;
for (i__ = max(i__2,i__3); i__ <= i__4; ++i__) {
i__2 = i__;
i__3 = i__;
i__5 = l + i__ + j * a_dim1;
q__2.r = temp.r * a[i__5].r - temp.i * a[i__5].i,
q__2.i = temp.r * a[i__5].i + temp.i * a[
i__5].r;
q__1.r = x[i__3].r + q__2.r, q__1.i = x[i__3].i +
q__2.i;
x[i__2].r = q__1.r, x[i__2].i = q__1.i;
/* L10: */
}
if (nounit) {
i__4 = j;
i__2 = j;
i__3 = kplus1 + j * a_dim1;
q__1.r = x[i__2].r * a[i__3].r - x[i__2].i * a[
i__3].i, q__1.i = x[i__2].r * a[i__3].i +
x[i__2].i * a[i__3].r;
x[i__4].r = q__1.r, x[i__4].i = q__1.i;
}
}
/* L20: */
}
} else {
jx = kx;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__4 = jx;
if (x[i__4].r != 0.f || x[i__4].i != 0.f) {
i__4 = jx;
temp.r = x[i__4].r, temp.i = x[i__4].i;
ix = kx;
l = kplus1 - j;
/* Computing MAX */
i__4 = 1, i__2 = j - *k;
i__3 = j - 1;
for (i__ = max(i__4,i__2); i__ <= i__3; ++i__) {
i__4 = ix;
i__2 = ix;
i__5 = l + i__ + j * a_dim1;
q__2.r = temp.r * a[i__5].r - temp.i * a[i__5].i,
q__2.i = temp.r * a[i__5].i + temp.i * a[
i__5].r;
q__1.r = x[i__2].r + q__2.r, q__1.i = x[i__2].i +
q__2.i;
x[i__4].r = q__1.r, x[i__4].i = q__1.i;
ix += *incx;
/* L30: */
}
if (nounit) {
i__3 = jx;
i__4 = jx;
i__2 = kplus1 + j * a_dim1;
q__1.r = x[i__4].r * a[i__2].r - x[i__4].i * a[
i__2].i, q__1.i = x[i__4].r * a[i__2].i +
x[i__4].i * a[i__2].r;
x[i__3].r = q__1.r, x[i__3].i = q__1.i;
}
}
jx += *incx;
if (j > *k) {
kx += *incx;
}
/* L40: */
}
}
} else {
if (*incx == 1) {
for (j = *n; j >= 1; --j) {
i__1 = j;
if (x[i__1].r != 0.f || x[i__1].i != 0.f) {
i__1 = j;
temp.r = x[i__1].r, temp.i = x[i__1].i;
l = 1 - j;
/* Computing MIN */
i__1 = *n, i__3 = j + *k;
i__4 = j + 1;
for (i__ = min(i__1,i__3); i__ >= i__4; --i__) {
i__1 = i__;
i__3 = i__;
i__2 = l + i__ + j * a_dim1;
q__2.r = temp.r * a[i__2].r - temp.i * a[i__2].i,
q__2.i = temp.r * a[i__2].i + temp.i * a[
i__2].r;
q__1.r = x[i__3].r + q__2.r, q__1.i = x[i__3].i +
q__2.i;
x[i__1].r = q__1.r, x[i__1].i = q__1.i;
/* L50: */
}
if (nounit) {
i__4 = j;
i__1 = j;
i__3 = j * a_dim1 + 1;
q__1.r = x[i__1].r * a[i__3].r - x[i__1].i * a[
i__3].i, q__1.i = x[i__1].r * a[i__3].i +
x[i__1].i * a[i__3].r;
x[i__4].r = q__1.r, x[i__4].i = q__1.i;
}
}
/* L60: */
}
} else {
kx += (*n - 1) * *incx;
jx = kx;
for (j = *n; j >= 1; --j) {
i__4 = jx;
if (x[i__4].r != 0.f || x[i__4].i != 0.f) {
i__4 = jx;
temp.r = x[i__4].r, temp.i = x[i__4].i;
ix = kx;
l = 1 - j;
/* Computing MIN */
i__4 = *n, i__1 = j + *k;
i__3 = j + 1;
for (i__ = min(i__4,i__1); i__ >= i__3; --i__) {
i__4 = ix;
i__1 = ix;
i__2 = l + i__ + j * a_dim1;
q__2.r = temp.r * a[i__2].r - temp.i * a[i__2].i,
q__2.i = temp.r * a[i__2].i + temp.i * a[
i__2].r;
q__1.r = x[i__1].r + q__2.r, q__1.i = x[i__1].i +
q__2.i;
x[i__4].r = q__1.r, x[i__4].i = q__1.i;
ix -= *incx;
/* L70: */
}
if (nounit) {
i__3 = jx;
i__4 = jx;
i__1 = j * a_dim1 + 1;
q__1.r = x[i__4].r * a[i__1].r - x[i__4].i * a[
i__1].i, q__1.i = x[i__4].r * a[i__1].i +
x[i__4].i * a[i__1].r;
x[i__3].r = q__1.r, x[i__3].i = q__1.i;
}
}
jx -= *incx;
if (*n - j >= *k) {
kx -= *incx;
}
/* L80: */
}
}
}
} else {
/* Form x := A'*x or x := conjg( A' )*x. */
if (lsame_(uplo, "U", (ftnlen)1, (ftnlen)1)) {
kplus1 = *k + 1;
if (*incx == 1) {
for (j = *n; j >= 1; --j) {
i__3 = j;
temp.r = x[i__3].r, temp.i = x[i__3].i;
l = kplus1 - j;
if (noconj) {
if (nounit) {
i__3 = kplus1 + j * a_dim1;
q__1.r = temp.r * a[i__3].r - temp.i * a[i__3].i,
q__1.i = temp.r * a[i__3].i + temp.i * a[
i__3].r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MAX */
i__4 = 1, i__1 = j - *k;
i__3 = max(i__4,i__1);
for (i__ = j - 1; i__ >= i__3; --i__) {
i__4 = l + i__ + j * a_dim1;
i__1 = i__;
q__2.r = a[i__4].r * x[i__1].r - a[i__4].i * x[
i__1].i, q__2.i = a[i__4].r * x[i__1].i +
a[i__4].i * x[i__1].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
/* L90: */
}
} else {
if (nounit) {
r_cnjg(&q__2, &a[kplus1 + j * a_dim1]);
q__1.r = temp.r * q__2.r - temp.i * q__2.i,
q__1.i = temp.r * q__2.i + temp.i *
q__2.r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MAX */
i__4 = 1, i__1 = j - *k;
i__3 = max(i__4,i__1);
for (i__ = j - 1; i__ >= i__3; --i__) {
r_cnjg(&q__3, &a[l + i__ + j * a_dim1]);
i__4 = i__;
q__2.r = q__3.r * x[i__4].r - q__3.i * x[i__4].i,
q__2.i = q__3.r * x[i__4].i + q__3.i * x[
i__4].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
/* L100: */
}
}
i__3 = j;
x[i__3].r = temp.r, x[i__3].i = temp.i;
/* L110: */
}
} else {
kx += (*n - 1) * *incx;
jx = kx;
for (j = *n; j >= 1; --j) {
i__3 = jx;
temp.r = x[i__3].r, temp.i = x[i__3].i;
kx -= *incx;
ix = kx;
l = kplus1 - j;
if (noconj) {
if (nounit) {
i__3 = kplus1 + j * a_dim1;
q__1.r = temp.r * a[i__3].r - temp.i * a[i__3].i,
q__1.i = temp.r * a[i__3].i + temp.i * a[
i__3].r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MAX */
i__4 = 1, i__1 = j - *k;
i__3 = max(i__4,i__1);
for (i__ = j - 1; i__ >= i__3; --i__) {
i__4 = l + i__ + j * a_dim1;
i__1 = ix;
q__2.r = a[i__4].r * x[i__1].r - a[i__4].i * x[
i__1].i, q__2.i = a[i__4].r * x[i__1].i +
a[i__4].i * x[i__1].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
ix -= *incx;
/* L120: */
}
} else {
if (nounit) {
r_cnjg(&q__2, &a[kplus1 + j * a_dim1]);
q__1.r = temp.r * q__2.r - temp.i * q__2.i,
q__1.i = temp.r * q__2.i + temp.i *
q__2.r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MAX */
i__4 = 1, i__1 = j - *k;
i__3 = max(i__4,i__1);
for (i__ = j - 1; i__ >= i__3; --i__) {
r_cnjg(&q__3, &a[l + i__ + j * a_dim1]);
i__4 = ix;
q__2.r = q__3.r * x[i__4].r - q__3.i * x[i__4].i,
q__2.i = q__3.r * x[i__4].i + q__3.i * x[
i__4].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
ix -= *incx;
/* L130: */
}
}
i__3 = jx;
x[i__3].r = temp.r, x[i__3].i = temp.i;
jx -= *incx;
/* L140: */
}
}
} else {
if (*incx == 1) {
i__3 = *n;
for (j = 1; j <= i__3; ++j) {
i__4 = j;
temp.r = x[i__4].r, temp.i = x[i__4].i;
l = 1 - j;
if (noconj) {
if (nounit) {
i__4 = j * a_dim1 + 1;
q__1.r = temp.r * a[i__4].r - temp.i * a[i__4].i,
q__1.i = temp.r * a[i__4].i + temp.i * a[
i__4].r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MIN */
i__1 = *n, i__2 = j + *k;
i__4 = min(i__1,i__2);
for (i__ = j + 1; i__ <= i__4; ++i__) {
i__1 = l + i__ + j * a_dim1;
i__2 = i__;
q__2.r = a[i__1].r * x[i__2].r - a[i__1].i * x[
i__2].i, q__2.i = a[i__1].r * x[i__2].i +
a[i__1].i * x[i__2].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
/* L150: */
}
} else {
if (nounit) {
r_cnjg(&q__2, &a[j * a_dim1 + 1]);
q__1.r = temp.r * q__2.r - temp.i * q__2.i,
q__1.i = temp.r * q__2.i + temp.i *
q__2.r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MIN */
i__1 = *n, i__2 = j + *k;
i__4 = min(i__1,i__2);
for (i__ = j + 1; i__ <= i__4; ++i__) {
r_cnjg(&q__3, &a[l + i__ + j * a_dim1]);
i__1 = i__;
q__2.r = q__3.r * x[i__1].r - q__3.i * x[i__1].i,
q__2.i = q__3.r * x[i__1].i + q__3.i * x[
i__1].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
/* L160: */
}
}
i__4 = j;
x[i__4].r = temp.r, x[i__4].i = temp.i;
/* L170: */
}
} else {
jx = kx;
i__3 = *n;
for (j = 1; j <= i__3; ++j) {
i__4 = jx;
temp.r = x[i__4].r, temp.i = x[i__4].i;
kx += *incx;
ix = kx;
l = 1 - j;
if (noconj) {
if (nounit) {
i__4 = j * a_dim1 + 1;
q__1.r = temp.r * a[i__4].r - temp.i * a[i__4].i,
q__1.i = temp.r * a[i__4].i + temp.i * a[
i__4].r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MIN */
i__1 = *n, i__2 = j + *k;
i__4 = min(i__1,i__2);
for (i__ = j + 1; i__ <= i__4; ++i__) {
i__1 = l + i__ + j * a_dim1;
i__2 = ix;
q__2.r = a[i__1].r * x[i__2].r - a[i__1].i * x[
i__2].i, q__2.i = a[i__1].r * x[i__2].i +
a[i__1].i * x[i__2].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
ix += *incx;
/* L180: */
}
} else {
if (nounit) {
r_cnjg(&q__2, &a[j * a_dim1 + 1]);
q__1.r = temp.r * q__2.r - temp.i * q__2.i,
q__1.i = temp.r * q__2.i + temp.i *
q__2.r;
temp.r = q__1.r, temp.i = q__1.i;
}
/* Computing MIN */
i__1 = *n, i__2 = j + *k;
i__4 = min(i__1,i__2);
for (i__ = j + 1; i__ <= i__4; ++i__) {
r_cnjg(&q__3, &a[l + i__ + j * a_dim1]);
i__1 = ix;
q__2.r = q__3.r * x[i__1].r - q__3.i * x[i__1].i,
q__2.i = q__3.r * x[i__1].i + q__3.i * x[
i__1].r;
q__1.r = temp.r + q__2.r, q__1.i = temp.i +
q__2.i;
temp.r = q__1.r, temp.i = q__1.i;
ix += *incx;
/* L190: */
}
}
i__4 = jx;
x[i__4].r = temp.r, x[i__4].i = temp.i;
jx += *incx;
/* L200: */
}
}
}
}
return 0;
/* End of CTBMV . */
} /* ctbmv_ */