Annotation of rpl/lapack/lapack/dorbdb.f, revision 1.1
1.1 ! bertrand 1: SUBROUTINE DORBDB( TRANS, SIGNS, M, P, Q, X11, LDX11, X12, LDX12,
! 2: $ X21, LDX21, X22, LDX22, THETA, PHI, TAUP1,
! 3: $ TAUP2, TAUQ1, TAUQ2, WORK, LWORK, INFO )
! 4: IMPLICIT NONE
! 5: *
! 6: * -- LAPACK routine (version 3.3.0) --
! 7: *
! 8: * -- Contributed by Brian Sutton of the Randolph-Macon College --
! 9: * -- November 2010
! 10: *
! 11: * -- LAPACK is a software package provided by Univ. of Tennessee, --
! 12: * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
! 13: *
! 14: * .. Scalar Arguments ..
! 15: CHARACTER SIGNS, TRANS
! 16: INTEGER INFO, LDX11, LDX12, LDX21, LDX22, LWORK, M, P,
! 17: $ Q
! 18: * ..
! 19: * .. Array Arguments ..
! 20: DOUBLE PRECISION PHI( * ), THETA( * )
! 21: DOUBLE PRECISION TAUP1( * ), TAUP2( * ), TAUQ1( * ), TAUQ2( * ),
! 22: $ WORK( * ), X11( LDX11, * ), X12( LDX12, * ),
! 23: $ X21( LDX21, * ), X22( LDX22, * )
! 24: * ..
! 25: *
! 26: * Purpose
! 27: * =======
! 28: *
! 29: * DORBDB simultaneously bidiagonalizes the blocks of an M-by-M
! 30: * partitioned orthogonal matrix X:
! 31: *
! 32: * [ B11 | B12 0 0 ]
! 33: * [ X11 | X12 ] [ P1 | ] [ 0 | 0 -I 0 ] [ Q1 | ]**T
! 34: * X = [-----------] = [---------] [----------------] [---------] .
! 35: * [ X21 | X22 ] [ | P2 ] [ B21 | B22 0 0 ] [ | Q2 ]
! 36: * [ 0 | 0 0 I ]
! 37: *
! 38: * X11 is P-by-Q. Q must be no larger than P, M-P, or M-Q. (If this is
! 39: * not the case, then X must be transposed and/or permuted. This can be
! 40: * done in constant time using the TRANS and SIGNS options. See DORCSD
! 41: * for details.)
! 42: *
! 43: * The orthogonal matrices P1, P2, Q1, and Q2 are P-by-P, (M-P)-by-
! 44: * (M-P), Q-by-Q, and (M-Q)-by-(M-Q), respectively. They are
! 45: * represented implicitly by Householder vectors.
! 46: *
! 47: * B11, B12, B21, and B22 are Q-by-Q bidiagonal matrices represented
! 48: * implicitly by angles THETA, PHI.
! 49: *
! 50: * Arguments
! 51: * =========
! 52: *
! 53: * TRANS (input) CHARACTER
! 54: * = 'T': X, U1, U2, V1T, and V2T are stored in row-major
! 55: * order;
! 56: * otherwise: X, U1, U2, V1T, and V2T are stored in column-
! 57: * major order.
! 58: *
! 59: * SIGNS (input) CHARACTER
! 60: * = 'O': The lower-left block is made nonpositive (the
! 61: * "other" convention);
! 62: * otherwise: The upper-right block is made nonpositive (the
! 63: * "default" convention).
! 64: *
! 65: * M (input) INTEGER
! 66: * The number of rows and columns in X.
! 67: *
! 68: * P (input) INTEGER
! 69: * The number of rows in X11 and X12. 0 <= P <= M.
! 70: *
! 71: * Q (input) INTEGER
! 72: * The number of columns in X11 and X21. 0 <= Q <=
! 73: * MIN(P,M-P,M-Q).
! 74: *
! 75: * X11 (input/output) DOUBLE PRECISION array, dimension (LDX11,Q)
! 76: * On entry, the top-left block of the orthogonal matrix to be
! 77: * reduced. On exit, the form depends on TRANS:
! 78: * If TRANS = 'N', then
! 79: * the columns of tril(X11) specify reflectors for P1,
! 80: * the rows of triu(X11,1) specify reflectors for Q1;
! 81: * else TRANS = 'T', and
! 82: * the rows of triu(X11) specify reflectors for P1,
! 83: * the columns of tril(X11,-1) specify reflectors for Q1.
! 84: *
! 85: * LDX11 (input) INTEGER
! 86: * The leading dimension of X11. If TRANS = 'N', then LDX11 >=
! 87: * P; else LDX11 >= Q.
! 88: *
! 89: * X12 (input/output) DOUBLE PRECISION array, dimension (LDX12,M-Q)
! 90: * On entry, the top-right block of the orthogonal matrix to
! 91: * be reduced. On exit, the form depends on TRANS:
! 92: * If TRANS = 'N', then
! 93: * the rows of triu(X12) specify the first P reflectors for
! 94: * Q2;
! 95: * else TRANS = 'T', and
! 96: * the columns of tril(X12) specify the first P reflectors
! 97: * for Q2.
! 98: *
! 99: * LDX12 (input) INTEGER
! 100: * The leading dimension of X12. If TRANS = 'N', then LDX12 >=
! 101: * P; else LDX11 >= M-Q.
! 102: *
! 103: * X21 (input/output) DOUBLE PRECISION array, dimension (LDX21,Q)
! 104: * On entry, the bottom-left block of the orthogonal matrix to
! 105: * be reduced. On exit, the form depends on TRANS:
! 106: * If TRANS = 'N', then
! 107: * the columns of tril(X21) specify reflectors for P2;
! 108: * else TRANS = 'T', and
! 109: * the rows of triu(X21) specify reflectors for P2.
! 110: *
! 111: * LDX21 (input) INTEGER
! 112: * The leading dimension of X21. If TRANS = 'N', then LDX21 >=
! 113: * M-P; else LDX21 >= Q.
! 114: *
! 115: * X22 (input/output) DOUBLE PRECISION array, dimension (LDX22,M-Q)
! 116: * On entry, the bottom-right block of the orthogonal matrix to
! 117: * be reduced. On exit, the form depends on TRANS:
! 118: * If TRANS = 'N', then
! 119: * the rows of triu(X22(Q+1:M-P,P+1:M-Q)) specify the last
! 120: * M-P-Q reflectors for Q2,
! 121: * else TRANS = 'T', and
! 122: * the columns of tril(X22(P+1:M-Q,Q+1:M-P)) specify the last
! 123: * M-P-Q reflectors for P2.
! 124: *
! 125: * LDX22 (input) INTEGER
! 126: * The leading dimension of X22. If TRANS = 'N', then LDX22 >=
! 127: * M-P; else LDX22 >= M-Q.
! 128: *
! 129: * THETA (output) DOUBLE PRECISION array, dimension (Q)
! 130: * The entries of the bidiagonal blocks B11, B12, B21, B22 can
! 131: * be computed from the angles THETA and PHI. See Further
! 132: * Details.
! 133: *
! 134: * PHI (output) DOUBLE PRECISION array, dimension (Q-1)
! 135: * The entries of the bidiagonal blocks B11, B12, B21, B22 can
! 136: * be computed from the angles THETA and PHI. See Further
! 137: * Details.
! 138: *
! 139: * TAUP1 (output) DOUBLE PRECISION array, dimension (P)
! 140: * The scalar factors of the elementary reflectors that define
! 141: * P1.
! 142: *
! 143: * TAUP2 (output) DOUBLE PRECISION array, dimension (M-P)
! 144: * The scalar factors of the elementary reflectors that define
! 145: * P2.
! 146: *
! 147: * TAUQ1 (output) DOUBLE PRECISION array, dimension (Q)
! 148: * The scalar factors of the elementary reflectors that define
! 149: * Q1.
! 150: *
! 151: * TAUQ2 (output) DOUBLE PRECISION array, dimension (M-Q)
! 152: * The scalar factors of the elementary reflectors that define
! 153: * Q2.
! 154: *
! 155: * WORK (workspace) DOUBLE PRECISION array, dimension (LWORK)
! 156: *
! 157: * LWORK (input) INTEGER
! 158: * The dimension of the array WORK. LWORK >= M-Q.
! 159: *
! 160: * If LWORK = -1, then a workspace query is assumed; the routine
! 161: * only calculates the optimal size of the WORK array, returns
! 162: * this value as the first entry of the WORK array, and no error
! 163: * message related to LWORK is issued by XERBLA.
! 164: *
! 165: * INFO (output) INTEGER
! 166: * = 0: successful exit.
! 167: * < 0: if INFO = -i, the i-th argument had an illegal value.
! 168: *
! 169: * Further Details
! 170: * ===============
! 171: *
! 172: * The bidiagonal blocks B11, B12, B21, and B22 are represented
! 173: * implicitly by angles THETA(1), ..., THETA(Q) and PHI(1), ...,
! 174: * PHI(Q-1). B11 and B21 are upper bidiagonal, while B21 and B22 are
! 175: * lower bidiagonal. Every entry in each bidiagonal band is a product
! 176: * of a sine or cosine of a THETA with a sine or cosine of a PHI. See
! 177: * [1] or DORCSD for details.
! 178: *
! 179: * P1, P2, Q1, and Q2 are represented as products of elementary
! 180: * reflectors. See DORCSD for details on generating P1, P2, Q1, and Q2
! 181: * using DORGQR and DORGLQ.
! 182: *
! 183: * Reference
! 184: * =========
! 185: *
! 186: * [1] Brian D. Sutton. Computing the complete CS decomposition. Numer.
! 187: * Algorithms, 50(1):33-65, 2009.
! 188: *
! 189: * ====================================================================
! 190: *
! 191: * .. Parameters ..
! 192: DOUBLE PRECISION REALONE
! 193: PARAMETER ( REALONE = 1.0D0 )
! 194: DOUBLE PRECISION NEGONE, ONE
! 195: PARAMETER ( NEGONE = -1.0D0, ONE = 1.0D0 )
! 196: * ..
! 197: * .. Local Scalars ..
! 198: LOGICAL COLMAJOR, LQUERY
! 199: INTEGER I, LWORKMIN, LWORKOPT
! 200: DOUBLE PRECISION Z1, Z2, Z3, Z4
! 201: * ..
! 202: * .. External Subroutines ..
! 203: EXTERNAL DAXPY, DLARF, DLARFGP, DSCAL, XERBLA
! 204: * ..
! 205: * .. External Functions ..
! 206: DOUBLE PRECISION DNRM2
! 207: LOGICAL LSAME
! 208: EXTERNAL DNRM2, LSAME
! 209: * ..
! 210: * .. Intrinsic Functions
! 211: INTRINSIC ATAN2, COS, MAX, MIN, SIN
! 212: * ..
! 213: * .. Executable Statements ..
! 214: *
! 215: * Test input arguments
! 216: *
! 217: INFO = 0
! 218: COLMAJOR = .NOT. LSAME( TRANS, 'T' )
! 219: IF( .NOT. LSAME( SIGNS, 'O' ) ) THEN
! 220: Z1 = REALONE
! 221: Z2 = REALONE
! 222: Z3 = REALONE
! 223: Z4 = REALONE
! 224: ELSE
! 225: Z1 = REALONE
! 226: Z2 = -REALONE
! 227: Z3 = REALONE
! 228: Z4 = -REALONE
! 229: END IF
! 230: LQUERY = LWORK .EQ. -1
! 231: *
! 232: IF( M .LT. 0 ) THEN
! 233: INFO = -3
! 234: ELSE IF( P .LT. 0 .OR. P .GT. M ) THEN
! 235: INFO = -4
! 236: ELSE IF( Q .LT. 0 .OR. Q .GT. P .OR. Q .GT. M-P .OR.
! 237: $ Q .GT. M-Q ) THEN
! 238: INFO = -5
! 239: ELSE IF( COLMAJOR .AND. LDX11 .LT. MAX( 1, P ) ) THEN
! 240: INFO = -7
! 241: ELSE IF( .NOT.COLMAJOR .AND. LDX11 .LT. MAX( 1, Q ) ) THEN
! 242: INFO = -7
! 243: ELSE IF( COLMAJOR .AND. LDX12 .LT. MAX( 1, P ) ) THEN
! 244: INFO = -9
! 245: ELSE IF( .NOT.COLMAJOR .AND. LDX12 .LT. MAX( 1, M-Q ) ) THEN
! 246: INFO = -9
! 247: ELSE IF( COLMAJOR .AND. LDX21 .LT. MAX( 1, M-P ) ) THEN
! 248: INFO = -11
! 249: ELSE IF( .NOT.COLMAJOR .AND. LDX21 .LT. MAX( 1, Q ) ) THEN
! 250: INFO = -11
! 251: ELSE IF( COLMAJOR .AND. LDX22 .LT. MAX( 1, M-P ) ) THEN
! 252: INFO = -13
! 253: ELSE IF( .NOT.COLMAJOR .AND. LDX22 .LT. MAX( 1, M-Q ) ) THEN
! 254: INFO = -13
! 255: END IF
! 256: *
! 257: * Compute workspace
! 258: *
! 259: IF( INFO .EQ. 0 ) THEN
! 260: LWORKOPT = M - Q
! 261: LWORKMIN = M - Q
! 262: WORK(1) = LWORKOPT
! 263: IF( LWORK .LT. LWORKMIN .AND. .NOT. LQUERY ) THEN
! 264: INFO = -21
! 265: END IF
! 266: END IF
! 267: IF( INFO .NE. 0 ) THEN
! 268: CALL XERBLA( 'xORBDB', -INFO )
! 269: RETURN
! 270: ELSE IF( LQUERY ) THEN
! 271: RETURN
! 272: END IF
! 273: *
! 274: * Handle column-major and row-major separately
! 275: *
! 276: IF( COLMAJOR ) THEN
! 277: *
! 278: * Reduce columns 1, ..., Q of X11, X12, X21, and X22
! 279: *
! 280: DO I = 1, Q
! 281: *
! 282: IF( I .EQ. 1 ) THEN
! 283: CALL DSCAL( P-I+1, Z1, X11(I,I), 1 )
! 284: ELSE
! 285: CALL DSCAL( P-I+1, Z1*COS(PHI(I-1)), X11(I,I), 1 )
! 286: CALL DAXPY( P-I+1, -Z1*Z3*Z4*SIN(PHI(I-1)), X12(I,I-1),
! 287: $ 1, X11(I,I), 1 )
! 288: END IF
! 289: IF( I .EQ. 1 ) THEN
! 290: CALL DSCAL( M-P-I+1, Z2, X21(I,I), 1 )
! 291: ELSE
! 292: CALL DSCAL( M-P-I+1, Z2*COS(PHI(I-1)), X21(I,I), 1 )
! 293: CALL DAXPY( M-P-I+1, -Z2*Z3*Z4*SIN(PHI(I-1)), X22(I,I-1),
! 294: $ 1, X21(I,I), 1 )
! 295: END IF
! 296: *
! 297: THETA(I) = ATAN2( DNRM2( M-P-I+1, X21(I,I), 1 ),
! 298: $ DNRM2( P-I+1, X11(I,I), 1 ) )
! 299: *
! 300: CALL DLARFGP( P-I+1, X11(I,I), X11(I+1,I), 1, TAUP1(I) )
! 301: X11(I,I) = ONE
! 302: CALL DLARFGP( M-P-I+1, X21(I,I), X21(I+1,I), 1, TAUP2(I) )
! 303: X21(I,I) = ONE
! 304: *
! 305: CALL DLARF( 'L', P-I+1, Q-I, X11(I,I), 1, TAUP1(I),
! 306: $ X11(I,I+1), LDX11, WORK )
! 307: CALL DLARF( 'L', P-I+1, M-Q-I+1, X11(I,I), 1, TAUP1(I),
! 308: $ X12(I,I), LDX12, WORK )
! 309: CALL DLARF( 'L', M-P-I+1, Q-I, X21(I,I), 1, TAUP2(I),
! 310: $ X21(I,I+1), LDX21, WORK )
! 311: CALL DLARF( 'L', M-P-I+1, M-Q-I+1, X21(I,I), 1, TAUP2(I),
! 312: $ X22(I,I), LDX22, WORK )
! 313: *
! 314: IF( I .LT. Q ) THEN
! 315: CALL DSCAL( Q-I, -Z1*Z3*SIN(THETA(I)), X11(I,I+1),
! 316: $ LDX11 )
! 317: CALL DAXPY( Q-I, Z2*Z3*COS(THETA(I)), X21(I,I+1), LDX21,
! 318: $ X11(I,I+1), LDX11 )
! 319: END IF
! 320: CALL DSCAL( M-Q-I+1, -Z1*Z4*SIN(THETA(I)), X12(I,I), LDX12 )
! 321: CALL DAXPY( M-Q-I+1, Z2*Z4*COS(THETA(I)), X22(I,I), LDX22,
! 322: $ X12(I,I), LDX12 )
! 323: *
! 324: IF( I .LT. Q )
! 325: $ PHI(I) = ATAN2( DNRM2( Q-I, X11(I,I+1), LDX11 ),
! 326: $ DNRM2( M-Q-I+1, X12(I,I), LDX12 ) )
! 327: *
! 328: IF( I .LT. Q ) THEN
! 329: CALL DLARFGP( Q-I, X11(I,I+1), X11(I,I+2), LDX11,
! 330: $ TAUQ1(I) )
! 331: X11(I,I+1) = ONE
! 332: END IF
! 333: CALL DLARFGP( M-Q-I+1, X12(I,I), X12(I,I+1), LDX12,
! 334: $ TAUQ2(I) )
! 335: X12(I,I) = ONE
! 336: *
! 337: IF( I .LT. Q ) THEN
! 338: CALL DLARF( 'R', P-I, Q-I, X11(I,I+1), LDX11, TAUQ1(I),
! 339: $ X11(I+1,I+1), LDX11, WORK )
! 340: CALL DLARF( 'R', M-P-I, Q-I, X11(I,I+1), LDX11, TAUQ1(I),
! 341: $ X21(I+1,I+1), LDX21, WORK )
! 342: END IF
! 343: CALL DLARF( 'R', P-I, M-Q-I+1, X12(I,I), LDX12, TAUQ2(I),
! 344: $ X12(I+1,I), LDX12, WORK )
! 345: CALL DLARF( 'R', M-P-I, M-Q-I+1, X12(I,I), LDX12, TAUQ2(I),
! 346: $ X22(I+1,I), LDX22, WORK )
! 347: *
! 348: END DO
! 349: *
! 350: * Reduce columns Q + 1, ..., P of X12, X22
! 351: *
! 352: DO I = Q + 1, P
! 353: *
! 354: CALL DSCAL( M-Q-I+1, -Z1*Z4, X12(I,I), LDX12 )
! 355: CALL DLARFGP( M-Q-I+1, X12(I,I), X12(I,I+1), LDX12,
! 356: $ TAUQ2(I) )
! 357: X12(I,I) = ONE
! 358: *
! 359: CALL DLARF( 'R', P-I, M-Q-I+1, X12(I,I), LDX12, TAUQ2(I),
! 360: $ X12(I+1,I), LDX12, WORK )
! 361: IF( M-P-Q .GE. 1 )
! 362: $ CALL DLARF( 'R', M-P-Q, M-Q-I+1, X12(I,I), LDX12,
! 363: $ TAUQ2(I), X22(Q+1,I), LDX22, WORK )
! 364: *
! 365: END DO
! 366: *
! 367: * Reduce columns P + 1, ..., M - Q of X12, X22
! 368: *
! 369: DO I = 1, M - P - Q
! 370: *
! 371: CALL DSCAL( M-P-Q-I+1, Z2*Z4, X22(Q+I,P+I), LDX22 )
! 372: CALL DLARFGP( M-P-Q-I+1, X22(Q+I,P+I), X22(Q+I,P+I+1),
! 373: $ LDX22, TAUQ2(P+I) )
! 374: X22(Q+I,P+I) = ONE
! 375: CALL DLARF( 'R', M-P-Q-I, M-P-Q-I+1, X22(Q+I,P+I), LDX22,
! 376: $ TAUQ2(P+I), X22(Q+I+1,P+I), LDX22, WORK )
! 377: *
! 378: END DO
! 379: *
! 380: ELSE
! 381: *
! 382: * Reduce columns 1, ..., Q of X11, X12, X21, X22
! 383: *
! 384: DO I = 1, Q
! 385: *
! 386: IF( I .EQ. 1 ) THEN
! 387: CALL DSCAL( P-I+1, Z1, X11(I,I), LDX11 )
! 388: ELSE
! 389: CALL DSCAL( P-I+1, Z1*COS(PHI(I-1)), X11(I,I), LDX11 )
! 390: CALL DAXPY( P-I+1, -Z1*Z3*Z4*SIN(PHI(I-1)), X12(I-1,I),
! 391: $ LDX12, X11(I,I), LDX11 )
! 392: END IF
! 393: IF( I .EQ. 1 ) THEN
! 394: CALL DSCAL( M-P-I+1, Z2, X21(I,I), LDX21 )
! 395: ELSE
! 396: CALL DSCAL( M-P-I+1, Z2*COS(PHI(I-1)), X21(I,I), LDX21 )
! 397: CALL DAXPY( M-P-I+1, -Z2*Z3*Z4*SIN(PHI(I-1)), X22(I-1,I),
! 398: $ LDX22, X21(I,I), LDX21 )
! 399: END IF
! 400: *
! 401: THETA(I) = ATAN2( DNRM2( M-P-I+1, X21(I,I), LDX21 ),
! 402: $ DNRM2( P-I+1, X11(I,I), LDX11 ) )
! 403: *
! 404: CALL DLARFGP( P-I+1, X11(I,I), X11(I,I+1), LDX11, TAUP1(I) )
! 405: X11(I,I) = ONE
! 406: CALL DLARFGP( M-P-I+1, X21(I,I), X21(I,I+1), LDX21,
! 407: $ TAUP2(I) )
! 408: X21(I,I) = ONE
! 409: *
! 410: CALL DLARF( 'R', Q-I, P-I+1, X11(I,I), LDX11, TAUP1(I),
! 411: $ X11(I+1,I), LDX11, WORK )
! 412: CALL DLARF( 'R', M-Q-I+1, P-I+1, X11(I,I), LDX11, TAUP1(I),
! 413: $ X12(I,I), LDX12, WORK )
! 414: CALL DLARF( 'R', Q-I, M-P-I+1, X21(I,I), LDX21, TAUP2(I),
! 415: $ X21(I+1,I), LDX21, WORK )
! 416: CALL DLARF( 'R', M-Q-I+1, M-P-I+1, X21(I,I), LDX21,
! 417: $ TAUP2(I), X22(I,I), LDX22, WORK )
! 418: *
! 419: IF( I .LT. Q ) THEN
! 420: CALL DSCAL( Q-I, -Z1*Z3*SIN(THETA(I)), X11(I+1,I), 1 )
! 421: CALL DAXPY( Q-I, Z2*Z3*COS(THETA(I)), X21(I+1,I), 1,
! 422: $ X11(I+1,I), 1 )
! 423: END IF
! 424: CALL DSCAL( M-Q-I+1, -Z1*Z4*SIN(THETA(I)), X12(I,I), 1 )
! 425: CALL DAXPY( M-Q-I+1, Z2*Z4*COS(THETA(I)), X22(I,I), 1,
! 426: $ X12(I,I), 1 )
! 427: *
! 428: IF( I .LT. Q )
! 429: $ PHI(I) = ATAN2( DNRM2( Q-I, X11(I+1,I), 1 ),
! 430: $ DNRM2( M-Q-I+1, X12(I,I), 1 ) )
! 431: *
! 432: IF( I .LT. Q ) THEN
! 433: CALL DLARFGP( Q-I, X11(I+1,I), X11(I+2,I), 1, TAUQ1(I) )
! 434: X11(I+1,I) = ONE
! 435: END IF
! 436: CALL DLARFGP( M-Q-I+1, X12(I,I), X12(I+1,I), 1, TAUQ2(I) )
! 437: X12(I,I) = ONE
! 438: *
! 439: IF( I .LT. Q ) THEN
! 440: CALL DLARF( 'L', Q-I, P-I, X11(I+1,I), 1, TAUQ1(I),
! 441: $ X11(I+1,I+1), LDX11, WORK )
! 442: CALL DLARF( 'L', Q-I, M-P-I, X11(I+1,I), 1, TAUQ1(I),
! 443: $ X21(I+1,I+1), LDX21, WORK )
! 444: END IF
! 445: CALL DLARF( 'L', M-Q-I+1, P-I, X12(I,I), 1, TAUQ2(I),
! 446: $ X12(I,I+1), LDX12, WORK )
! 447: CALL DLARF( 'L', M-Q-I+1, M-P-I, X12(I,I), 1, TAUQ2(I),
! 448: $ X22(I,I+1), LDX22, WORK )
! 449: *
! 450: END DO
! 451: *
! 452: * Reduce columns Q + 1, ..., P of X12, X22
! 453: *
! 454: DO I = Q + 1, P
! 455: *
! 456: CALL DSCAL( M-Q-I+1, -Z1*Z4, X12(I,I), 1 )
! 457: CALL DLARFGP( M-Q-I+1, X12(I,I), X12(I+1,I), 1, TAUQ2(I) )
! 458: X12(I,I) = ONE
! 459: *
! 460: CALL DLARF( 'L', M-Q-I+1, P-I, X12(I,I), 1, TAUQ2(I),
! 461: $ X12(I,I+1), LDX12, WORK )
! 462: IF( M-P-Q .GE. 1 )
! 463: $ CALL DLARF( 'L', M-Q-I+1, M-P-Q, X12(I,I), 1, TAUQ2(I),
! 464: $ X22(I,Q+1), LDX22, WORK )
! 465: *
! 466: END DO
! 467: *
! 468: * Reduce columns P + 1, ..., M - Q of X12, X22
! 469: *
! 470: DO I = 1, M - P - Q
! 471: *
! 472: CALL DSCAL( M-P-Q-I+1, Z2*Z4, X22(P+I,Q+I), 1 )
! 473: CALL DLARFGP( M-P-Q-I+1, X22(P+I,Q+I), X22(P+I+1,Q+I), 1,
! 474: $ TAUQ2(P+I) )
! 475: X22(P+I,Q+I) = ONE
! 476: *
! 477: CALL DLARF( 'L', M-P-Q-I+1, M-P-Q-I, X22(P+I,Q+I), 1,
! 478: $ TAUQ2(P+I), X22(P+I,Q+I+1), LDX22, WORK )
! 479: *
! 480: END DO
! 481: *
! 482: END IF
! 483: *
! 484: RETURN
! 485: *
! 486: * End of DORBDB
! 487: *
! 488: END
! 489:
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