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SUBROUTINE DGGBAL( JOB, N, A, LDA, B, LDB, ILO, IHI, LSCALE,
$ RSCALE, WORK, INFO ) * * -- LAPACK routine (version 3.2.2) -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- * June 2010 * * .. Scalar Arguments .. CHARACTER JOB INTEGER IHI, ILO, INFO, LDA, LDB, N * .. * .. Array Arguments .. DOUBLE PRECISION A( LDA, * ), B( LDB, * ), LSCALE( * ), $ RSCALE( * ), WORK( * ) * .. * * Purpose * ======= * * DGGBAL balances a pair of general real matrices (A,B). This * involves, first, permuting A and B by similarity transformations to * isolate eigenvalues in the first 1 to ILO$-$1 and last IHI+1 to N * elements on the diagonal; and second, applying a diagonal similarity * transformation to rows and columns ILO to IHI to make the rows * and columns as close in norm as possible. Both steps are optional. * * Balancing may reduce the 1-norm of the matrices, and improve the * accuracy of the computed eigenvalues and/or eigenvectors in the * generalized eigenvalue problem A*x = lambda*B*x. * * Arguments * ========= * * JOB (input) CHARACTER*1 * Specifies the operations to be performed on A and B: * = 'N': none: simply set ILO = 1, IHI = N, LSCALE(I) = 1.0 * and RSCALE(I) = 1.0 for i = 1,...,N. * = 'P': permute only; * = 'S': scale only; * = 'B': both permute and scale. * * N (input) INTEGER * The order of the matrices A and B. N >= 0. * * A (input/output) DOUBLE PRECISION array, dimension (LDA,N) * On entry, the input matrix A. * On exit, A is overwritten by the balanced matrix. * If JOB = 'N', A is not referenced. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,N). * * B (input/output) DOUBLE PRECISION array, dimension (LDB,N) * On entry, the input matrix B. * On exit, B is overwritten by the balanced matrix. * If JOB = 'N', B is not referenced. * * LDB (input) INTEGER * The leading dimension of the array B. LDB >= max(1,N). * * ILO (output) INTEGER * IHI (output) INTEGER * ILO and IHI are set to integers such that on exit * A(i,j) = 0 and B(i,j) = 0 if i > j and * j = 1,...,ILO-1 or i = IHI+1,...,N. * If JOB = 'N' or 'S', ILO = 1 and IHI = N. * * LSCALE (output) DOUBLE PRECISION array, dimension (N) * Details of the permutations and scaling factors applied * to the left side of A and B. If P(j) is the index of the * row interchanged with row j, and D(j) * is the scaling factor applied to row j, then * LSCALE(j) = P(j) for J = 1,...,ILO-1 * = D(j) for J = ILO,...,IHI * = P(j) for J = IHI+1,...,N. * The order in which the interchanges are made is N to IHI+1, * then 1 to ILO-1. * * RSCALE (output) DOUBLE PRECISION array, dimension (N) * Details of the permutations and scaling factors applied * to the right side of A and B. If P(j) is the index of the * column interchanged with column j, and D(j) * is the scaling factor applied to column j, then * LSCALE(j) = P(j) for J = 1,...,ILO-1 * = D(j) for J = ILO,...,IHI * = P(j) for J = IHI+1,...,N. * The order in which the interchanges are made is N to IHI+1, * then 1 to ILO-1. * * WORK (workspace) DOUBLE PRECISION array, dimension (lwork) * lwork must be at least max(1,6*N) when JOB = 'S' or 'B', and * at least 1 when JOB = 'N' or 'P'. * * INFO (output) INTEGER * = 0: successful exit * < 0: if INFO = -i, the i-th argument had an illegal value. * * Further Details * =============== * * See R.C. WARD, Balancing the generalized eigenvalue problem, * SIAM J. Sci. Stat. Comp. 2 (1981), 141-152. * * ===================================================================== * * .. Parameters .. DOUBLE PRECISION ZERO, HALF, ONE PARAMETER ( ZERO = 0.0D+0, HALF = 0.5D+0, ONE = 1.0D+0 ) DOUBLE PRECISION THREE, SCLFAC PARAMETER ( THREE = 3.0D+0, SCLFAC = 1.0D+1 ) * .. * .. Local Scalars .. INTEGER I, ICAB, IFLOW, IP1, IR, IRAB, IT, J, JC, JP1, $ K, KOUNT, L, LCAB, LM1, LRAB, LSFMAX, LSFMIN, $ M, NR, NRP2 DOUBLE PRECISION ALPHA, BASL, BETA, CAB, CMAX, COEF, COEF2, $ COEF5, COR, EW, EWC, GAMMA, PGAMMA, RAB, SFMAX, $ SFMIN, SUM, T, TA, TB, TC * .. * .. External Functions .. LOGICAL LSAME INTEGER IDAMAX DOUBLE PRECISION DDOT, DLAMCH EXTERNAL LSAME, IDAMAX, DDOT, DLAMCH * .. * .. External Subroutines .. EXTERNAL DAXPY, DSCAL, DSWAP, XERBLA * .. * .. Intrinsic Functions .. INTRINSIC ABS, DBLE, INT, LOG10, MAX, MIN, SIGN * .. * .. Executable Statements .. * * Test the input parameters * INFO = 0 IF( .NOT.LSAME( JOB, 'N' ) .AND. .NOT.LSAME( JOB, 'P' ) .AND. $ .NOT.LSAME( JOB, 'S' ) .AND. .NOT.LSAME( JOB, 'B' ) ) THEN INFO = -1 ELSE IF( N.LT.0 ) THEN INFO = -2 ELSE IF( LDA.LT.MAX( 1, N ) ) THEN INFO = -4 ELSE IF( LDB.LT.MAX( 1, N ) ) THEN INFO = -6 END IF IF( INFO.NE.0 ) THEN CALL XERBLA( 'DGGBAL', -INFO ) RETURN END IF * * Quick return if possible * IF( N.EQ.0 ) THEN ILO = 1 IHI = N RETURN END IF * IF( N.EQ.1 ) THEN ILO = 1 IHI = N LSCALE( 1 ) = ONE RSCALE( 1 ) = ONE RETURN END IF * IF( LSAME( JOB, 'N' ) ) THEN ILO = 1 IHI = N DO 10 I = 1, N LSCALE( I ) = ONE RSCALE( I ) = ONE 10 CONTINUE RETURN END IF * K = 1 L = N IF( LSAME( JOB, 'S' ) ) $ GO TO 190 * GO TO 30 * * Permute the matrices A and B to isolate the eigenvalues. * * Find row with one nonzero in columns 1 through L * 20 CONTINUE L = LM1 IF( L.NE.1 ) $ GO TO 30 * RSCALE( 1 ) = ONE LSCALE( 1 ) = ONE GO TO 190 * 30 CONTINUE LM1 = L - 1 DO 80 I = L, 1, -1 DO 40 J = 1, LM1 JP1 = J + 1 IF( A( I, J ).NE.ZERO .OR. B( I, J ).NE.ZERO ) $ GO TO 50 40 CONTINUE J = L GO TO 70 * 50 CONTINUE DO 60 J = JP1, L IF( A( I, J ).NE.ZERO .OR. B( I, J ).NE.ZERO ) $ GO TO 80 60 CONTINUE J = JP1 - 1 * 70 CONTINUE M = L IFLOW = 1 GO TO 160 80 CONTINUE GO TO 100 * * Find column with one nonzero in rows K through N * 90 CONTINUE K = K + 1 * 100 CONTINUE DO 150 J = K, L DO 110 I = K, LM1 IP1 = I + 1 IF( A( I, J ).NE.ZERO .OR. B( I, J ).NE.ZERO ) $ GO TO 120 110 CONTINUE I = L GO TO 140 120 CONTINUE DO 130 I = IP1, L IF( A( I, J ).NE.ZERO .OR. B( I, J ).NE.ZERO ) $ GO TO 150 130 CONTINUE I = IP1 - 1 140 CONTINUE M = K IFLOW = 2 GO TO 160 150 CONTINUE GO TO 190 * * Permute rows M and I * 160 CONTINUE LSCALE( M ) = I IF( I.EQ.M ) $ GO TO 170 CALL DSWAP( N-K+1, A( I, K ), LDA, A( M, K ), LDA ) CALL DSWAP( N-K+1, B( I, K ), LDB, B( M, K ), LDB ) * * Permute columns M and J * 170 CONTINUE RSCALE( M ) = J IF( J.EQ.M ) $ GO TO 180 CALL DSWAP( L, A( 1, J ), 1, A( 1, M ), 1 ) CALL DSWAP( L, B( 1, J ), 1, B( 1, M ), 1 ) * 180 CONTINUE GO TO ( 20, 90 )IFLOW * 190 CONTINUE ILO = K IHI = L * IF( LSAME( JOB, 'P' ) ) THEN DO 195 I = ILO, IHI LSCALE( I ) = ONE RSCALE( I ) = ONE 195 CONTINUE RETURN END IF * IF( ILO.EQ.IHI ) $ RETURN * * Balance the submatrix in rows ILO to IHI. * NR = IHI - ILO + 1 DO 200 I = ILO, IHI RSCALE( I ) = ZERO LSCALE( I ) = ZERO * WORK( I ) = ZERO WORK( I+N ) = ZERO WORK( I+2*N ) = ZERO WORK( I+3*N ) = ZERO WORK( I+4*N ) = ZERO WORK( I+5*N ) = ZERO 200 CONTINUE * * Compute right side vector in resulting linear equations * BASL = LOG10( SCLFAC ) DO 240 I = ILO, IHI DO 230 J = ILO, IHI TB = B( I, J ) TA = A( I, J ) IF( TA.EQ.ZERO ) $ GO TO 210 TA = LOG10( ABS( TA ) ) / BASL 210 CONTINUE IF( TB.EQ.ZERO ) $ GO TO 220 TB = LOG10( ABS( TB ) ) / BASL 220 CONTINUE WORK( I+4*N ) = WORK( I+4*N ) - TA - TB WORK( J+5*N ) = WORK( J+5*N ) - TA - TB 230 CONTINUE 240 CONTINUE * COEF = ONE / DBLE( 2*NR ) COEF2 = COEF*COEF COEF5 = HALF*COEF2 NRP2 = NR + 2 BETA = ZERO IT = 1 * * Start generalized conjugate gradient iteration * 250 CONTINUE * GAMMA = DDOT( NR, WORK( ILO+4*N ), 1, WORK( ILO+4*N ), 1 ) + $ DDOT( NR, WORK( ILO+5*N ), 1, WORK( ILO+5*N ), 1 ) * EW = ZERO EWC = ZERO DO 260 I = ILO, IHI EW = EW + WORK( I+4*N ) EWC = EWC + WORK( I+5*N ) 260 CONTINUE * GAMMA = COEF*GAMMA - COEF2*( EW**2+EWC**2 ) - COEF5*( EW-EWC )**2 IF( GAMMA.EQ.ZERO ) $ GO TO 350 IF( IT.NE.1 ) $ BETA = GAMMA / PGAMMA T = COEF5*( EWC-THREE*EW ) TC = COEF5*( EW-THREE*EWC ) * CALL DSCAL( NR, BETA, WORK( ILO ), 1 ) CALL DSCAL( NR, BETA, WORK( ILO+N ), 1 ) * CALL DAXPY( NR, COEF, WORK( ILO+4*N ), 1, WORK( ILO+N ), 1 ) CALL DAXPY( NR, COEF, WORK( ILO+5*N ), 1, WORK( ILO ), 1 ) * DO 270 I = ILO, IHI WORK( I ) = WORK( I ) + TC WORK( I+N ) = WORK( I+N ) + T 270 CONTINUE * * Apply matrix to vector * DO 300 I = ILO, IHI KOUNT = 0 SUM = ZERO DO 290 J = ILO, IHI IF( A( I, J ).EQ.ZERO ) $ GO TO 280 KOUNT = KOUNT + 1 SUM = SUM + WORK( J ) 280 CONTINUE IF( B( I, J ).EQ.ZERO ) $ GO TO 290 KOUNT = KOUNT + 1 SUM = SUM + WORK( J ) 290 CONTINUE WORK( I+2*N ) = DBLE( KOUNT )*WORK( I+N ) + SUM 300 CONTINUE * DO 330 J = ILO, IHI KOUNT = 0 SUM = ZERO DO 320 I = ILO, IHI IF( A( I, J ).EQ.ZERO ) $ GO TO 310 KOUNT = KOUNT + 1 SUM = SUM + WORK( I+N ) 310 CONTINUE IF( B( I, J ).EQ.ZERO ) $ GO TO 320 KOUNT = KOUNT + 1 SUM = SUM + WORK( I+N ) 320 CONTINUE WORK( J+3*N ) = DBLE( KOUNT )*WORK( J ) + SUM 330 CONTINUE * SUM = DDOT( NR, WORK( ILO+N ), 1, WORK( ILO+2*N ), 1 ) + $ DDOT( NR, WORK( ILO ), 1, WORK( ILO+3*N ), 1 ) ALPHA = GAMMA / SUM * * Determine correction to current iteration * CMAX = ZERO DO 340 I = ILO, IHI COR = ALPHA*WORK( I+N ) IF( ABS( COR ).GT.CMAX ) $ CMAX = ABS( COR ) LSCALE( I ) = LSCALE( I ) + COR COR = ALPHA*WORK( I ) IF( ABS( COR ).GT.CMAX ) $ CMAX = ABS( COR ) RSCALE( I ) = RSCALE( I ) + COR 340 CONTINUE IF( CMAX.LT.HALF ) $ GO TO 350 * CALL DAXPY( NR, -ALPHA, WORK( ILO+2*N ), 1, WORK( ILO+4*N ), 1 ) CALL DAXPY( NR, -ALPHA, WORK( ILO+3*N ), 1, WORK( ILO+5*N ), 1 ) * PGAMMA = GAMMA IT = IT + 1 IF( IT.LE.NRP2 ) $ GO TO 250 * * End generalized conjugate gradient iteration * 350 CONTINUE SFMIN = DLAMCH( 'S' ) SFMAX = ONE / SFMIN LSFMIN = INT( LOG10( SFMIN ) / BASL+ONE ) LSFMAX = INT( LOG10( SFMAX ) / BASL ) DO 360 I = ILO, IHI IRAB = IDAMAX( N-ILO+1, A( I, ILO ), LDA ) RAB = ABS( A( I, IRAB+ILO-1 ) ) IRAB = IDAMAX( N-ILO+1, B( I, ILO ), LDB ) RAB = MAX( RAB, ABS( B( I, IRAB+ILO-1 ) ) ) LRAB = INT( LOG10( RAB+SFMIN ) / BASL+ONE ) IR = LSCALE( I ) + SIGN( HALF, LSCALE( I ) ) IR = MIN( MAX( IR, LSFMIN ), LSFMAX, LSFMAX-LRAB ) LSCALE( I ) = SCLFAC**IR ICAB = IDAMAX( IHI, A( 1, I ), 1 ) CAB = ABS( A( ICAB, I ) ) ICAB = IDAMAX( IHI, B( 1, I ), 1 ) CAB = MAX( CAB, ABS( B( ICAB, I ) ) ) LCAB = INT( LOG10( CAB+SFMIN ) / BASL+ONE ) JC = RSCALE( I ) + SIGN( HALF, RSCALE( I ) ) JC = MIN( MAX( JC, LSFMIN ), LSFMAX, LSFMAX-LCAB ) RSCALE( I ) = SCLFAC**JC 360 CONTINUE * * Row scaling of matrices A and B * DO 370 I = ILO, IHI CALL DSCAL( N-ILO+1, LSCALE( I ), A( I, ILO ), LDA ) CALL DSCAL( N-ILO+1, LSCALE( I ), B( I, ILO ), LDB ) 370 CONTINUE * * Column scaling of matrices A and B * DO 380 J = ILO, IHI CALL DSCAL( IHI, RSCALE( J ), A( 1, J ), 1 ) CALL DSCAL( IHI, RSCALE( J ), B( 1, J ), 1 ) 380 CONTINUE * RETURN * * End of DGGBAL * END |