Annotation of rpl/lapack/lapack/dgegv.f, revision 1.1
1.1 ! bertrand 1: SUBROUTINE DGEGV( JOBVL, JOBVR, N, A, LDA, B, LDB, ALPHAR, ALPHAI,
! 2: $ BETA, VL, LDVL, VR, LDVR, WORK, LWORK, INFO )
! 3: *
! 4: * -- LAPACK driver routine (version 3.2) --
! 5: * -- LAPACK is a software package provided by Univ. of Tennessee, --
! 6: * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
! 7: * November 2006
! 8: *
! 9: * .. Scalar Arguments ..
! 10: CHARACTER JOBVL, JOBVR
! 11: INTEGER INFO, LDA, LDB, LDVL, LDVR, LWORK, N
! 12: * ..
! 13: * .. Array Arguments ..
! 14: DOUBLE PRECISION A( LDA, * ), ALPHAI( * ), ALPHAR( * ),
! 15: $ B( LDB, * ), BETA( * ), VL( LDVL, * ),
! 16: $ VR( LDVR, * ), WORK( * )
! 17: * ..
! 18: *
! 19: * Purpose
! 20: * =======
! 21: *
! 22: * This routine is deprecated and has been replaced by routine DGGEV.
! 23: *
! 24: * DGEGV computes the eigenvalues and, optionally, the left and/or right
! 25: * eigenvectors of a real matrix pair (A,B).
! 26: * Given two square matrices A and B,
! 27: * the generalized nonsymmetric eigenvalue problem (GNEP) is to find the
! 28: * eigenvalues lambda and corresponding (non-zero) eigenvectors x such
! 29: * that
! 30: *
! 31: * A*x = lambda*B*x.
! 32: *
! 33: * An alternate form is to find the eigenvalues mu and corresponding
! 34: * eigenvectors y such that
! 35: *
! 36: * mu*A*y = B*y.
! 37: *
! 38: * These two forms are equivalent with mu = 1/lambda and x = y if
! 39: * neither lambda nor mu is zero. In order to deal with the case that
! 40: * lambda or mu is zero or small, two values alpha and beta are returned
! 41: * for each eigenvalue, such that lambda = alpha/beta and
! 42: * mu = beta/alpha.
! 43: *
! 44: * The vectors x and y in the above equations are right eigenvectors of
! 45: * the matrix pair (A,B). Vectors u and v satisfying
! 46: *
! 47: * u**H*A = lambda*u**H*B or mu*v**H*A = v**H*B
! 48: *
! 49: * are left eigenvectors of (A,B).
! 50: *
! 51: * Note: this routine performs "full balancing" on A and B -- see
! 52: * "Further Details", below.
! 53: *
! 54: * Arguments
! 55: * =========
! 56: *
! 57: * JOBVL (input) CHARACTER*1
! 58: * = 'N': do not compute the left generalized eigenvectors;
! 59: * = 'V': compute the left generalized eigenvectors (returned
! 60: * in VL).
! 61: *
! 62: * JOBVR (input) CHARACTER*1
! 63: * = 'N': do not compute the right generalized eigenvectors;
! 64: * = 'V': compute the right generalized eigenvectors (returned
! 65: * in VR).
! 66: *
! 67: * N (input) INTEGER
! 68: * The order of the matrices A, B, VL, and VR. N >= 0.
! 69: *
! 70: * A (input/output) DOUBLE PRECISION array, dimension (LDA, N)
! 71: * On entry, the matrix A.
! 72: * If JOBVL = 'V' or JOBVR = 'V', then on exit A
! 73: * contains the real Schur form of A from the generalized Schur
! 74: * factorization of the pair (A,B) after balancing.
! 75: * If no eigenvectors were computed, then only the diagonal
! 76: * blocks from the Schur form will be correct. See DGGHRD and
! 77: * DHGEQZ for details.
! 78: *
! 79: * LDA (input) INTEGER
! 80: * The leading dimension of A. LDA >= max(1,N).
! 81: *
! 82: * B (input/output) DOUBLE PRECISION array, dimension (LDB, N)
! 83: * On entry, the matrix B.
! 84: * If JOBVL = 'V' or JOBVR = 'V', then on exit B contains the
! 85: * upper triangular matrix obtained from B in the generalized
! 86: * Schur factorization of the pair (A,B) after balancing.
! 87: * If no eigenvectors were computed, then only those elements of
! 88: * B corresponding to the diagonal blocks from the Schur form of
! 89: * A will be correct. See DGGHRD and DHGEQZ for details.
! 90: *
! 91: * LDB (input) INTEGER
! 92: * The leading dimension of B. LDB >= max(1,N).
! 93: *
! 94: * ALPHAR (output) DOUBLE PRECISION array, dimension (N)
! 95: * The real parts of each scalar alpha defining an eigenvalue of
! 96: * GNEP.
! 97: *
! 98: * ALPHAI (output) DOUBLE PRECISION array, dimension (N)
! 99: * The imaginary parts of each scalar alpha defining an
! 100: * eigenvalue of GNEP. If ALPHAI(j) is zero, then the j-th
! 101: * eigenvalue is real; if positive, then the j-th and
! 102: * (j+1)-st eigenvalues are a complex conjugate pair, with
! 103: * ALPHAI(j+1) = -ALPHAI(j).
! 104: *
! 105: * BETA (output) DOUBLE PRECISION array, dimension (N)
! 106: * The scalars beta that define the eigenvalues of GNEP.
! 107: *
! 108: * Together, the quantities alpha = (ALPHAR(j),ALPHAI(j)) and
! 109: * beta = BETA(j) represent the j-th eigenvalue of the matrix
! 110: * pair (A,B), in one of the forms lambda = alpha/beta or
! 111: * mu = beta/alpha. Since either lambda or mu may overflow,
! 112: * they should not, in general, be computed.
! 113: *
! 114: * VL (output) DOUBLE PRECISION array, dimension (LDVL,N)
! 115: * If JOBVL = 'V', the left eigenvectors u(j) are stored
! 116: * in the columns of VL, in the same order as their eigenvalues.
! 117: * If the j-th eigenvalue is real, then u(j) = VL(:,j).
! 118: * If the j-th and (j+1)-st eigenvalues form a complex conjugate
! 119: * pair, then
! 120: * u(j) = VL(:,j) + i*VL(:,j+1)
! 121: * and
! 122: * u(j+1) = VL(:,j) - i*VL(:,j+1).
! 123: *
! 124: * Each eigenvector is scaled so that its largest component has
! 125: * abs(real part) + abs(imag. part) = 1, except for eigenvectors
! 126: * corresponding to an eigenvalue with alpha = beta = 0, which
! 127: * are set to zero.
! 128: * Not referenced if JOBVL = 'N'.
! 129: *
! 130: * LDVL (input) INTEGER
! 131: * The leading dimension of the matrix VL. LDVL >= 1, and
! 132: * if JOBVL = 'V', LDVL >= N.
! 133: *
! 134: * VR (output) DOUBLE PRECISION array, dimension (LDVR,N)
! 135: * If JOBVR = 'V', the right eigenvectors x(j) are stored
! 136: * in the columns of VR, in the same order as their eigenvalues.
! 137: * If the j-th eigenvalue is real, then x(j) = VR(:,j).
! 138: * If the j-th and (j+1)-st eigenvalues form a complex conjugate
! 139: * pair, then
! 140: * x(j) = VR(:,j) + i*VR(:,j+1)
! 141: * and
! 142: * x(j+1) = VR(:,j) - i*VR(:,j+1).
! 143: *
! 144: * Each eigenvector is scaled so that its largest component has
! 145: * abs(real part) + abs(imag. part) = 1, except for eigenvalues
! 146: * corresponding to an eigenvalue with alpha = beta = 0, which
! 147: * are set to zero.
! 148: * Not referenced if JOBVR = 'N'.
! 149: *
! 150: * LDVR (input) INTEGER
! 151: * The leading dimension of the matrix VR. LDVR >= 1, and
! 152: * if JOBVR = 'V', LDVR >= N.
! 153: *
! 154: * WORK (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
! 155: * On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
! 156: *
! 157: * LWORK (input) INTEGER
! 158: * The dimension of the array WORK. LWORK >= max(1,8*N).
! 159: * For good performance, LWORK must generally be larger.
! 160: * To compute the optimal value of LWORK, call ILAENV to get
! 161: * blocksizes (for DGEQRF, DORMQR, and DORGQR.) Then compute:
! 162: * NB -- MAX of the blocksizes for DGEQRF, DORMQR, and DORGQR;
! 163: * The optimal LWORK is:
! 164: * 2*N + MAX( 6*N, N*(NB+1) ).
! 165: *
! 166: * If LWORK = -1, then a workspace query is assumed; the routine
! 167: * only calculates the optimal size of the WORK array, returns
! 168: * this value as the first entry of the WORK array, and no error
! 169: * message related to LWORK is issued by XERBLA.
! 170: *
! 171: * INFO (output) INTEGER
! 172: * = 0: successful exit
! 173: * < 0: if INFO = -i, the i-th argument had an illegal value.
! 174: * = 1,...,N:
! 175: * The QZ iteration failed. No eigenvectors have been
! 176: * calculated, but ALPHAR(j), ALPHAI(j), and BETA(j)
! 177: * should be correct for j=INFO+1,...,N.
! 178: * > N: errors that usually indicate LAPACK problems:
! 179: * =N+1: error return from DGGBAL
! 180: * =N+2: error return from DGEQRF
! 181: * =N+3: error return from DORMQR
! 182: * =N+4: error return from DORGQR
! 183: * =N+5: error return from DGGHRD
! 184: * =N+6: error return from DHGEQZ (other than failed
! 185: * iteration)
! 186: * =N+7: error return from DTGEVC
! 187: * =N+8: error return from DGGBAK (computing VL)
! 188: * =N+9: error return from DGGBAK (computing VR)
! 189: * =N+10: error return from DLASCL (various calls)
! 190: *
! 191: * Further Details
! 192: * ===============
! 193: *
! 194: * Balancing
! 195: * ---------
! 196: *
! 197: * This driver calls DGGBAL to both permute and scale rows and columns
! 198: * of A and B. The permutations PL and PR are chosen so that PL*A*PR
! 199: * and PL*B*R will be upper triangular except for the diagonal blocks
! 200: * A(i:j,i:j) and B(i:j,i:j), with i and j as close together as
! 201: * possible. The diagonal scaling matrices DL and DR are chosen so
! 202: * that the pair DL*PL*A*PR*DR, DL*PL*B*PR*DR have elements close to
! 203: * one (except for the elements that start out zero.)
! 204: *
! 205: * After the eigenvalues and eigenvectors of the balanced matrices
! 206: * have been computed, DGGBAK transforms the eigenvectors back to what
! 207: * they would have been (in perfect arithmetic) if they had not been
! 208: * balanced.
! 209: *
! 210: * Contents of A and B on Exit
! 211: * -------- -- - --- - -- ----
! 212: *
! 213: * If any eigenvectors are computed (either JOBVL='V' or JOBVR='V' or
! 214: * both), then on exit the arrays A and B will contain the real Schur
! 215: * form[*] of the "balanced" versions of A and B. If no eigenvectors
! 216: * are computed, then only the diagonal blocks will be correct.
! 217: *
! 218: * [*] See DHGEQZ, DGEGS, or read the book "Matrix Computations",
! 219: * by Golub & van Loan, pub. by Johns Hopkins U. Press.
! 220: *
! 221: * =====================================================================
! 222: *
! 223: * .. Parameters ..
! 224: DOUBLE PRECISION ZERO, ONE
! 225: PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0 )
! 226: * ..
! 227: * .. Local Scalars ..
! 228: LOGICAL ILIMIT, ILV, ILVL, ILVR, LQUERY
! 229: CHARACTER CHTEMP
! 230: INTEGER ICOLS, IHI, IINFO, IJOBVL, IJOBVR, ILEFT, ILO,
! 231: $ IN, IRIGHT, IROWS, ITAU, IWORK, JC, JR, LOPT,
! 232: $ LWKMIN, LWKOPT, NB, NB1, NB2, NB3
! 233: DOUBLE PRECISION ABSAI, ABSAR, ABSB, ANRM, ANRM1, ANRM2, BNRM,
! 234: $ BNRM1, BNRM2, EPS, ONEPLS, SAFMAX, SAFMIN,
! 235: $ SALFAI, SALFAR, SBETA, SCALE, TEMP
! 236: * ..
! 237: * .. Local Arrays ..
! 238: LOGICAL LDUMMA( 1 )
! 239: * ..
! 240: * .. External Subroutines ..
! 241: EXTERNAL DGEQRF, DGGBAK, DGGBAL, DGGHRD, DHGEQZ, DLACPY,
! 242: $ DLASCL, DLASET, DORGQR, DORMQR, DTGEVC, XERBLA
! 243: * ..
! 244: * .. External Functions ..
! 245: LOGICAL LSAME
! 246: INTEGER ILAENV
! 247: DOUBLE PRECISION DLAMCH, DLANGE
! 248: EXTERNAL LSAME, ILAENV, DLAMCH, DLANGE
! 249: * ..
! 250: * .. Intrinsic Functions ..
! 251: INTRINSIC ABS, INT, MAX
! 252: * ..
! 253: * .. Executable Statements ..
! 254: *
! 255: * Decode the input arguments
! 256: *
! 257: IF( LSAME( JOBVL, 'N' ) ) THEN
! 258: IJOBVL = 1
! 259: ILVL = .FALSE.
! 260: ELSE IF( LSAME( JOBVL, 'V' ) ) THEN
! 261: IJOBVL = 2
! 262: ILVL = .TRUE.
! 263: ELSE
! 264: IJOBVL = -1
! 265: ILVL = .FALSE.
! 266: END IF
! 267: *
! 268: IF( LSAME( JOBVR, 'N' ) ) THEN
! 269: IJOBVR = 1
! 270: ILVR = .FALSE.
! 271: ELSE IF( LSAME( JOBVR, 'V' ) ) THEN
! 272: IJOBVR = 2
! 273: ILVR = .TRUE.
! 274: ELSE
! 275: IJOBVR = -1
! 276: ILVR = .FALSE.
! 277: END IF
! 278: ILV = ILVL .OR. ILVR
! 279: *
! 280: * Test the input arguments
! 281: *
! 282: LWKMIN = MAX( 8*N, 1 )
! 283: LWKOPT = LWKMIN
! 284: WORK( 1 ) = LWKOPT
! 285: LQUERY = ( LWORK.EQ.-1 )
! 286: INFO = 0
! 287: IF( IJOBVL.LE.0 ) THEN
! 288: INFO = -1
! 289: ELSE IF( IJOBVR.LE.0 ) THEN
! 290: INFO = -2
! 291: ELSE IF( N.LT.0 ) THEN
! 292: INFO = -3
! 293: ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
! 294: INFO = -5
! 295: ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
! 296: INFO = -7
! 297: ELSE IF( LDVL.LT.1 .OR. ( ILVL .AND. LDVL.LT.N ) ) THEN
! 298: INFO = -12
! 299: ELSE IF( LDVR.LT.1 .OR. ( ILVR .AND. LDVR.LT.N ) ) THEN
! 300: INFO = -14
! 301: ELSE IF( LWORK.LT.LWKMIN .AND. .NOT.LQUERY ) THEN
! 302: INFO = -16
! 303: END IF
! 304: *
! 305: IF( INFO.EQ.0 ) THEN
! 306: NB1 = ILAENV( 1, 'DGEQRF', ' ', N, N, -1, -1 )
! 307: NB2 = ILAENV( 1, 'DORMQR', ' ', N, N, N, -1 )
! 308: NB3 = ILAENV( 1, 'DORGQR', ' ', N, N, N, -1 )
! 309: NB = MAX( NB1, NB2, NB3 )
! 310: LOPT = 2*N + MAX( 6*N, N*( NB+1 ) )
! 311: WORK( 1 ) = LOPT
! 312: END IF
! 313: *
! 314: IF( INFO.NE.0 ) THEN
! 315: CALL XERBLA( 'DGEGV ', -INFO )
! 316: RETURN
! 317: ELSE IF( LQUERY ) THEN
! 318: RETURN
! 319: END IF
! 320: *
! 321: * Quick return if possible
! 322: *
! 323: IF( N.EQ.0 )
! 324: $ RETURN
! 325: *
! 326: * Get machine constants
! 327: *
! 328: EPS = DLAMCH( 'E' )*DLAMCH( 'B' )
! 329: SAFMIN = DLAMCH( 'S' )
! 330: SAFMIN = SAFMIN + SAFMIN
! 331: SAFMAX = ONE / SAFMIN
! 332: ONEPLS = ONE + ( 4*EPS )
! 333: *
! 334: * Scale A
! 335: *
! 336: ANRM = DLANGE( 'M', N, N, A, LDA, WORK )
! 337: ANRM1 = ANRM
! 338: ANRM2 = ONE
! 339: IF( ANRM.LT.ONE ) THEN
! 340: IF( SAFMAX*ANRM.LT.ONE ) THEN
! 341: ANRM1 = SAFMIN
! 342: ANRM2 = SAFMAX*ANRM
! 343: END IF
! 344: END IF
! 345: *
! 346: IF( ANRM.GT.ZERO ) THEN
! 347: CALL DLASCL( 'G', -1, -1, ANRM, ONE, N, N, A, LDA, IINFO )
! 348: IF( IINFO.NE.0 ) THEN
! 349: INFO = N + 10
! 350: RETURN
! 351: END IF
! 352: END IF
! 353: *
! 354: * Scale B
! 355: *
! 356: BNRM = DLANGE( 'M', N, N, B, LDB, WORK )
! 357: BNRM1 = BNRM
! 358: BNRM2 = ONE
! 359: IF( BNRM.LT.ONE ) THEN
! 360: IF( SAFMAX*BNRM.LT.ONE ) THEN
! 361: BNRM1 = SAFMIN
! 362: BNRM2 = SAFMAX*BNRM
! 363: END IF
! 364: END IF
! 365: *
! 366: IF( BNRM.GT.ZERO ) THEN
! 367: CALL DLASCL( 'G', -1, -1, BNRM, ONE, N, N, B, LDB, IINFO )
! 368: IF( IINFO.NE.0 ) THEN
! 369: INFO = N + 10
! 370: RETURN
! 371: END IF
! 372: END IF
! 373: *
! 374: * Permute the matrix to make it more nearly triangular
! 375: * Workspace layout: (8*N words -- "work" requires 6*N words)
! 376: * left_permutation, right_permutation, work...
! 377: *
! 378: ILEFT = 1
! 379: IRIGHT = N + 1
! 380: IWORK = IRIGHT + N
! 381: CALL DGGBAL( 'P', N, A, LDA, B, LDB, ILO, IHI, WORK( ILEFT ),
! 382: $ WORK( IRIGHT ), WORK( IWORK ), IINFO )
! 383: IF( IINFO.NE.0 ) THEN
! 384: INFO = N + 1
! 385: GO TO 120
! 386: END IF
! 387: *
! 388: * Reduce B to triangular form, and initialize VL and/or VR
! 389: * Workspace layout: ("work..." must have at least N words)
! 390: * left_permutation, right_permutation, tau, work...
! 391: *
! 392: IROWS = IHI + 1 - ILO
! 393: IF( ILV ) THEN
! 394: ICOLS = N + 1 - ILO
! 395: ELSE
! 396: ICOLS = IROWS
! 397: END IF
! 398: ITAU = IWORK
! 399: IWORK = ITAU + IROWS
! 400: CALL DGEQRF( IROWS, ICOLS, B( ILO, ILO ), LDB, WORK( ITAU ),
! 401: $ WORK( IWORK ), LWORK+1-IWORK, IINFO )
! 402: IF( IINFO.GE.0 )
! 403: $ LWKOPT = MAX( LWKOPT, INT( WORK( IWORK ) )+IWORK-1 )
! 404: IF( IINFO.NE.0 ) THEN
! 405: INFO = N + 2
! 406: GO TO 120
! 407: END IF
! 408: *
! 409: CALL DORMQR( 'L', 'T', IROWS, ICOLS, IROWS, B( ILO, ILO ), LDB,
! 410: $ WORK( ITAU ), A( ILO, ILO ), LDA, WORK( IWORK ),
! 411: $ LWORK+1-IWORK, IINFO )
! 412: IF( IINFO.GE.0 )
! 413: $ LWKOPT = MAX( LWKOPT, INT( WORK( IWORK ) )+IWORK-1 )
! 414: IF( IINFO.NE.0 ) THEN
! 415: INFO = N + 3
! 416: GO TO 120
! 417: END IF
! 418: *
! 419: IF( ILVL ) THEN
! 420: CALL DLASET( 'Full', N, N, ZERO, ONE, VL, LDVL )
! 421: CALL DLACPY( 'L', IROWS-1, IROWS-1, B( ILO+1, ILO ), LDB,
! 422: $ VL( ILO+1, ILO ), LDVL )
! 423: CALL DORGQR( IROWS, IROWS, IROWS, VL( ILO, ILO ), LDVL,
! 424: $ WORK( ITAU ), WORK( IWORK ), LWORK+1-IWORK,
! 425: $ IINFO )
! 426: IF( IINFO.GE.0 )
! 427: $ LWKOPT = MAX( LWKOPT, INT( WORK( IWORK ) )+IWORK-1 )
! 428: IF( IINFO.NE.0 ) THEN
! 429: INFO = N + 4
! 430: GO TO 120
! 431: END IF
! 432: END IF
! 433: *
! 434: IF( ILVR )
! 435: $ CALL DLASET( 'Full', N, N, ZERO, ONE, VR, LDVR )
! 436: *
! 437: * Reduce to generalized Hessenberg form
! 438: *
! 439: IF( ILV ) THEN
! 440: *
! 441: * Eigenvectors requested -- work on whole matrix.
! 442: *
! 443: CALL DGGHRD( JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB, VL,
! 444: $ LDVL, VR, LDVR, IINFO )
! 445: ELSE
! 446: CALL DGGHRD( 'N', 'N', IROWS, 1, IROWS, A( ILO, ILO ), LDA,
! 447: $ B( ILO, ILO ), LDB, VL, LDVL, VR, LDVR, IINFO )
! 448: END IF
! 449: IF( IINFO.NE.0 ) THEN
! 450: INFO = N + 5
! 451: GO TO 120
! 452: END IF
! 453: *
! 454: * Perform QZ algorithm
! 455: * Workspace layout: ("work..." must have at least 1 word)
! 456: * left_permutation, right_permutation, work...
! 457: *
! 458: IWORK = ITAU
! 459: IF( ILV ) THEN
! 460: CHTEMP = 'S'
! 461: ELSE
! 462: CHTEMP = 'E'
! 463: END IF
! 464: CALL DHGEQZ( CHTEMP, JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB,
! 465: $ ALPHAR, ALPHAI, BETA, VL, LDVL, VR, LDVR,
! 466: $ WORK( IWORK ), LWORK+1-IWORK, IINFO )
! 467: IF( IINFO.GE.0 )
! 468: $ LWKOPT = MAX( LWKOPT, INT( WORK( IWORK ) )+IWORK-1 )
! 469: IF( IINFO.NE.0 ) THEN
! 470: IF( IINFO.GT.0 .AND. IINFO.LE.N ) THEN
! 471: INFO = IINFO
! 472: ELSE IF( IINFO.GT.N .AND. IINFO.LE.2*N ) THEN
! 473: INFO = IINFO - N
! 474: ELSE
! 475: INFO = N + 6
! 476: END IF
! 477: GO TO 120
! 478: END IF
! 479: *
! 480: IF( ILV ) THEN
! 481: *
! 482: * Compute Eigenvectors (DTGEVC requires 6*N words of workspace)
! 483: *
! 484: IF( ILVL ) THEN
! 485: IF( ILVR ) THEN
! 486: CHTEMP = 'B'
! 487: ELSE
! 488: CHTEMP = 'L'
! 489: END IF
! 490: ELSE
! 491: CHTEMP = 'R'
! 492: END IF
! 493: *
! 494: CALL DTGEVC( CHTEMP, 'B', LDUMMA, N, A, LDA, B, LDB, VL, LDVL,
! 495: $ VR, LDVR, N, IN, WORK( IWORK ), IINFO )
! 496: IF( IINFO.NE.0 ) THEN
! 497: INFO = N + 7
! 498: GO TO 120
! 499: END IF
! 500: *
! 501: * Undo balancing on VL and VR, rescale
! 502: *
! 503: IF( ILVL ) THEN
! 504: CALL DGGBAK( 'P', 'L', N, ILO, IHI, WORK( ILEFT ),
! 505: $ WORK( IRIGHT ), N, VL, LDVL, IINFO )
! 506: IF( IINFO.NE.0 ) THEN
! 507: INFO = N + 8
! 508: GO TO 120
! 509: END IF
! 510: DO 50 JC = 1, N
! 511: IF( ALPHAI( JC ).LT.ZERO )
! 512: $ GO TO 50
! 513: TEMP = ZERO
! 514: IF( ALPHAI( JC ).EQ.ZERO ) THEN
! 515: DO 10 JR = 1, N
! 516: TEMP = MAX( TEMP, ABS( VL( JR, JC ) ) )
! 517: 10 CONTINUE
! 518: ELSE
! 519: DO 20 JR = 1, N
! 520: TEMP = MAX( TEMP, ABS( VL( JR, JC ) )+
! 521: $ ABS( VL( JR, JC+1 ) ) )
! 522: 20 CONTINUE
! 523: END IF
! 524: IF( TEMP.LT.SAFMIN )
! 525: $ GO TO 50
! 526: TEMP = ONE / TEMP
! 527: IF( ALPHAI( JC ).EQ.ZERO ) THEN
! 528: DO 30 JR = 1, N
! 529: VL( JR, JC ) = VL( JR, JC )*TEMP
! 530: 30 CONTINUE
! 531: ELSE
! 532: DO 40 JR = 1, N
! 533: VL( JR, JC ) = VL( JR, JC )*TEMP
! 534: VL( JR, JC+1 ) = VL( JR, JC+1 )*TEMP
! 535: 40 CONTINUE
! 536: END IF
! 537: 50 CONTINUE
! 538: END IF
! 539: IF( ILVR ) THEN
! 540: CALL DGGBAK( 'P', 'R', N, ILO, IHI, WORK( ILEFT ),
! 541: $ WORK( IRIGHT ), N, VR, LDVR, IINFO )
! 542: IF( IINFO.NE.0 ) THEN
! 543: INFO = N + 9
! 544: GO TO 120
! 545: END IF
! 546: DO 100 JC = 1, N
! 547: IF( ALPHAI( JC ).LT.ZERO )
! 548: $ GO TO 100
! 549: TEMP = ZERO
! 550: IF( ALPHAI( JC ).EQ.ZERO ) THEN
! 551: DO 60 JR = 1, N
! 552: TEMP = MAX( TEMP, ABS( VR( JR, JC ) ) )
! 553: 60 CONTINUE
! 554: ELSE
! 555: DO 70 JR = 1, N
! 556: TEMP = MAX( TEMP, ABS( VR( JR, JC ) )+
! 557: $ ABS( VR( JR, JC+1 ) ) )
! 558: 70 CONTINUE
! 559: END IF
! 560: IF( TEMP.LT.SAFMIN )
! 561: $ GO TO 100
! 562: TEMP = ONE / TEMP
! 563: IF( ALPHAI( JC ).EQ.ZERO ) THEN
! 564: DO 80 JR = 1, N
! 565: VR( JR, JC ) = VR( JR, JC )*TEMP
! 566: 80 CONTINUE
! 567: ELSE
! 568: DO 90 JR = 1, N
! 569: VR( JR, JC ) = VR( JR, JC )*TEMP
! 570: VR( JR, JC+1 ) = VR( JR, JC+1 )*TEMP
! 571: 90 CONTINUE
! 572: END IF
! 573: 100 CONTINUE
! 574: END IF
! 575: *
! 576: * End of eigenvector calculation
! 577: *
! 578: END IF
! 579: *
! 580: * Undo scaling in alpha, beta
! 581: *
! 582: * Note: this does not give the alpha and beta for the unscaled
! 583: * problem.
! 584: *
! 585: * Un-scaling is limited to avoid underflow in alpha and beta
! 586: * if they are significant.
! 587: *
! 588: DO 110 JC = 1, N
! 589: ABSAR = ABS( ALPHAR( JC ) )
! 590: ABSAI = ABS( ALPHAI( JC ) )
! 591: ABSB = ABS( BETA( JC ) )
! 592: SALFAR = ANRM*ALPHAR( JC )
! 593: SALFAI = ANRM*ALPHAI( JC )
! 594: SBETA = BNRM*BETA( JC )
! 595: ILIMIT = .FALSE.
! 596: SCALE = ONE
! 597: *
! 598: * Check for significant underflow in ALPHAI
! 599: *
! 600: IF( ABS( SALFAI ).LT.SAFMIN .AND. ABSAI.GE.
! 601: $ MAX( SAFMIN, EPS*ABSAR, EPS*ABSB ) ) THEN
! 602: ILIMIT = .TRUE.
! 603: SCALE = ( ONEPLS*SAFMIN / ANRM1 ) /
! 604: $ MAX( ONEPLS*SAFMIN, ANRM2*ABSAI )
! 605: *
! 606: ELSE IF( SALFAI.EQ.ZERO ) THEN
! 607: *
! 608: * If insignificant underflow in ALPHAI, then make the
! 609: * conjugate eigenvalue real.
! 610: *
! 611: IF( ALPHAI( JC ).LT.ZERO .AND. JC.GT.1 ) THEN
! 612: ALPHAI( JC-1 ) = ZERO
! 613: ELSE IF( ALPHAI( JC ).GT.ZERO .AND. JC.LT.N ) THEN
! 614: ALPHAI( JC+1 ) = ZERO
! 615: END IF
! 616: END IF
! 617: *
! 618: * Check for significant underflow in ALPHAR
! 619: *
! 620: IF( ABS( SALFAR ).LT.SAFMIN .AND. ABSAR.GE.
! 621: $ MAX( SAFMIN, EPS*ABSAI, EPS*ABSB ) ) THEN
! 622: ILIMIT = .TRUE.
! 623: SCALE = MAX( SCALE, ( ONEPLS*SAFMIN / ANRM1 ) /
! 624: $ MAX( ONEPLS*SAFMIN, ANRM2*ABSAR ) )
! 625: END IF
! 626: *
! 627: * Check for significant underflow in BETA
! 628: *
! 629: IF( ABS( SBETA ).LT.SAFMIN .AND. ABSB.GE.
! 630: $ MAX( SAFMIN, EPS*ABSAR, EPS*ABSAI ) ) THEN
! 631: ILIMIT = .TRUE.
! 632: SCALE = MAX( SCALE, ( ONEPLS*SAFMIN / BNRM1 ) /
! 633: $ MAX( ONEPLS*SAFMIN, BNRM2*ABSB ) )
! 634: END IF
! 635: *
! 636: * Check for possible overflow when limiting scaling
! 637: *
! 638: IF( ILIMIT ) THEN
! 639: TEMP = ( SCALE*SAFMIN )*MAX( ABS( SALFAR ), ABS( SALFAI ),
! 640: $ ABS( SBETA ) )
! 641: IF( TEMP.GT.ONE )
! 642: $ SCALE = SCALE / TEMP
! 643: IF( SCALE.LT.ONE )
! 644: $ ILIMIT = .FALSE.
! 645: END IF
! 646: *
! 647: * Recompute un-scaled ALPHAR, ALPHAI, BETA if necessary.
! 648: *
! 649: IF( ILIMIT ) THEN
! 650: SALFAR = ( SCALE*ALPHAR( JC ) )*ANRM
! 651: SALFAI = ( SCALE*ALPHAI( JC ) )*ANRM
! 652: SBETA = ( SCALE*BETA( JC ) )*BNRM
! 653: END IF
! 654: ALPHAR( JC ) = SALFAR
! 655: ALPHAI( JC ) = SALFAI
! 656: BETA( JC ) = SBETA
! 657: 110 CONTINUE
! 658: *
! 659: 120 CONTINUE
! 660: WORK( 1 ) = LWKOPT
! 661: *
! 662: RETURN
! 663: *
! 664: * End of DGEGV
! 665: *
! 666: END
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