Annotation of rpl/lapack/lapack/dlansb.f, revision 1.19
1.11 bertrand 1: *> \brief \b DLANSB returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a symmetric band matrix.
1.8 bertrand 2: *
3: * =========== DOCUMENTATION ===========
4: *
1.15 bertrand 5: * Online html documentation available at
6: * http://www.netlib.org/lapack/explore-html/
1.8 bertrand 7: *
8: *> \htmlonly
1.15 bertrand 9: *> Download DLANSB + dependencies
10: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlansb.f">
11: *> [TGZ]</a>
12: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlansb.f">
13: *> [ZIP]</a>
14: *> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlansb.f">
1.8 bertrand 15: *> [TXT]</a>
1.15 bertrand 16: *> \endhtmlonly
1.8 bertrand 17: *
18: * Definition:
19: * ===========
20: *
21: * DOUBLE PRECISION FUNCTION DLANSB( NORM, UPLO, N, K, AB, LDAB,
22: * WORK )
1.15 bertrand 23: *
1.8 bertrand 24: * .. Scalar Arguments ..
25: * CHARACTER NORM, UPLO
26: * INTEGER K, LDAB, N
27: * ..
28: * .. Array Arguments ..
29: * DOUBLE PRECISION AB( LDAB, * ), WORK( * )
30: * ..
1.15 bertrand 31: *
1.8 bertrand 32: *
33: *> \par Purpose:
34: * =============
35: *>
36: *> \verbatim
37: *>
38: *> DLANSB returns the value of the one norm, or the Frobenius norm, or
39: *> the infinity norm, or the element of largest absolute value of an
40: *> n by n symmetric band matrix A, with k super-diagonals.
41: *> \endverbatim
42: *>
43: *> \return DLANSB
44: *> \verbatim
45: *>
46: *> DLANSB = ( max(abs(A(i,j))), NORM = 'M' or 'm'
47: *> (
48: *> ( norm1(A), NORM = '1', 'O' or 'o'
49: *> (
50: *> ( normI(A), NORM = 'I' or 'i'
51: *> (
52: *> ( normF(A), NORM = 'F', 'f', 'E' or 'e'
53: *>
54: *> where norm1 denotes the one norm of a matrix (maximum column sum),
55: *> normI denotes the infinity norm of a matrix (maximum row sum) and
56: *> normF denotes the Frobenius norm of a matrix (square root of sum of
57: *> squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
58: *> \endverbatim
59: *
60: * Arguments:
61: * ==========
62: *
63: *> \param[in] NORM
64: *> \verbatim
65: *> NORM is CHARACTER*1
66: *> Specifies the value to be returned in DLANSB as described
67: *> above.
68: *> \endverbatim
69: *>
70: *> \param[in] UPLO
71: *> \verbatim
72: *> UPLO is CHARACTER*1
73: *> Specifies whether the upper or lower triangular part of the
74: *> band matrix A is supplied.
75: *> = 'U': Upper triangular part is supplied
76: *> = 'L': Lower triangular part is supplied
77: *> \endverbatim
78: *>
79: *> \param[in] N
80: *> \verbatim
81: *> N is INTEGER
82: *> The order of the matrix A. N >= 0. When N = 0, DLANSB is
83: *> set to zero.
84: *> \endverbatim
85: *>
86: *> \param[in] K
87: *> \verbatim
88: *> K is INTEGER
89: *> The number of super-diagonals or sub-diagonals of the
90: *> band matrix A. K >= 0.
91: *> \endverbatim
92: *>
93: *> \param[in] AB
94: *> \verbatim
95: *> AB is DOUBLE PRECISION array, dimension (LDAB,N)
96: *> The upper or lower triangle of the symmetric band matrix A,
97: *> stored in the first K+1 rows of AB. The j-th column of A is
98: *> stored in the j-th column of the array AB as follows:
99: *> if UPLO = 'U', AB(k+1+i-j,j) = A(i,j) for max(1,j-k)<=i<=j;
100: *> if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+k).
101: *> \endverbatim
102: *>
103: *> \param[in] LDAB
104: *> \verbatim
105: *> LDAB is INTEGER
106: *> The leading dimension of the array AB. LDAB >= K+1.
107: *> \endverbatim
108: *>
109: *> \param[out] WORK
110: *> \verbatim
111: *> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
112: *> where LWORK >= N when NORM = 'I' or '1' or 'O'; otherwise,
113: *> WORK is not referenced.
114: *> \endverbatim
115: *
116: * Authors:
117: * ========
118: *
1.15 bertrand 119: *> \author Univ. of Tennessee
120: *> \author Univ. of California Berkeley
121: *> \author Univ. of Colorado Denver
122: *> \author NAG Ltd.
1.8 bertrand 123: *
124: *> \ingroup doubleOTHERauxiliary
125: *
126: * =====================================================================
1.1 bertrand 127: DOUBLE PRECISION FUNCTION DLANSB( NORM, UPLO, N, K, AB, LDAB,
128: $ WORK )
129: *
1.19 ! bertrand 130: * -- LAPACK auxiliary routine --
1.1 bertrand 131: * -- LAPACK is a software package provided by Univ. of Tennessee, --
132: * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
133: *
134: * .. Scalar Arguments ..
135: CHARACTER NORM, UPLO
136: INTEGER K, LDAB, N
137: * ..
138: * .. Array Arguments ..
139: DOUBLE PRECISION AB( LDAB, * ), WORK( * )
140: * ..
141: *
142: * =====================================================================
143: *
144: * .. Parameters ..
145: DOUBLE PRECISION ONE, ZERO
146: PARAMETER ( ONE = 1.0D+0, ZERO = 0.0D+0 )
147: * ..
148: * .. Local Scalars ..
149: INTEGER I, J, L
1.19 ! bertrand 150: DOUBLE PRECISION ABSA, SCALE, SUM, VALUE
1.1 bertrand 151: * ..
1.19 ! bertrand 152: * .. External Subroutines ..
! 153: EXTERNAL DLASSQ
1.1 bertrand 154: * ..
155: * .. External Functions ..
1.11 bertrand 156: LOGICAL LSAME, DISNAN
157: EXTERNAL LSAME, DISNAN
1.1 bertrand 158: * ..
159: * .. Intrinsic Functions ..
160: INTRINSIC ABS, MAX, MIN, SQRT
161: * ..
162: * .. Executable Statements ..
163: *
164: IF( N.EQ.0 ) THEN
165: VALUE = ZERO
166: ELSE IF( LSAME( NORM, 'M' ) ) THEN
167: *
168: * Find max(abs(A(i,j))).
169: *
170: VALUE = ZERO
171: IF( LSAME( UPLO, 'U' ) ) THEN
172: DO 20 J = 1, N
173: DO 10 I = MAX( K+2-J, 1 ), K + 1
1.11 bertrand 174: SUM = ABS( AB( I, J ) )
175: IF( VALUE .LT. SUM .OR. DISNAN( SUM ) ) VALUE = SUM
1.1 bertrand 176: 10 CONTINUE
177: 20 CONTINUE
178: ELSE
179: DO 40 J = 1, N
180: DO 30 I = 1, MIN( N+1-J, K+1 )
1.11 bertrand 181: SUM = ABS( AB( I, J ) )
182: IF( VALUE .LT. SUM .OR. DISNAN( SUM ) ) VALUE = SUM
1.1 bertrand 183: 30 CONTINUE
184: 40 CONTINUE
185: END IF
186: ELSE IF( ( LSAME( NORM, 'I' ) ) .OR. ( LSAME( NORM, 'O' ) ) .OR.
187: $ ( NORM.EQ.'1' ) ) THEN
188: *
189: * Find normI(A) ( = norm1(A), since A is symmetric).
190: *
191: VALUE = ZERO
192: IF( LSAME( UPLO, 'U' ) ) THEN
193: DO 60 J = 1, N
194: SUM = ZERO
195: L = K + 1 - J
196: DO 50 I = MAX( 1, J-K ), J - 1
197: ABSA = ABS( AB( L+I, J ) )
198: SUM = SUM + ABSA
199: WORK( I ) = WORK( I ) + ABSA
200: 50 CONTINUE
201: WORK( J ) = SUM + ABS( AB( K+1, J ) )
202: 60 CONTINUE
203: DO 70 I = 1, N
1.11 bertrand 204: SUM = WORK( I )
205: IF( VALUE .LT. SUM .OR. DISNAN( SUM ) ) VALUE = SUM
1.1 bertrand 206: 70 CONTINUE
207: ELSE
208: DO 80 I = 1, N
209: WORK( I ) = ZERO
210: 80 CONTINUE
211: DO 100 J = 1, N
212: SUM = WORK( J ) + ABS( AB( 1, J ) )
213: L = 1 - J
214: DO 90 I = J + 1, MIN( N, J+K )
215: ABSA = ABS( AB( L+I, J ) )
216: SUM = SUM + ABSA
217: WORK( I ) = WORK( I ) + ABSA
218: 90 CONTINUE
1.11 bertrand 219: IF( VALUE .LT. SUM .OR. DISNAN( SUM ) ) VALUE = SUM
1.1 bertrand 220: 100 CONTINUE
221: END IF
222: ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
223: *
224: * Find normF(A).
225: *
1.19 ! bertrand 226: SCALE = ZERO
! 227: SUM = ONE
1.1 bertrand 228: IF( K.GT.0 ) THEN
229: IF( LSAME( UPLO, 'U' ) ) THEN
230: DO 110 J = 2, N
231: CALL DLASSQ( MIN( J-1, K ), AB( MAX( K+2-J, 1 ), J ),
1.19 ! bertrand 232: $ 1, SCALE, SUM )
1.1 bertrand 233: 110 CONTINUE
234: L = K + 1
235: ELSE
236: DO 120 J = 1, N - 1
1.19 ! bertrand 237: CALL DLASSQ( MIN( N-J, K ), AB( 2, J ), 1, SCALE,
! 238: $ SUM )
1.1 bertrand 239: 120 CONTINUE
240: L = 1
241: END IF
1.19 ! bertrand 242: SUM = 2*SUM
1.1 bertrand 243: ELSE
244: L = 1
245: END IF
1.19 ! bertrand 246: CALL DLASSQ( N, AB( L, 1 ), LDAB, SCALE, SUM )
! 247: VALUE = SCALE*SQRT( SUM )
1.1 bertrand 248: END IF
249: *
250: DLANSB = VALUE
251: RETURN
252: *
253: * End of DLANSB
254: *
255: END
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