LAPACK 3.3.1
Linear Algebra PACKage
|
00001 SUBROUTINE DSTT22( N, M, KBAND, AD, AE, SD, SE, U, LDU, WORK, 00002 $ LDWORK, RESULT ) 00003 * 00004 * -- LAPACK test routine (version 3.1) -- 00005 * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. 00006 * November 2006 00007 * 00008 * .. Scalar Arguments .. 00009 INTEGER KBAND, LDU, LDWORK, M, N 00010 * .. 00011 * .. Array Arguments .. 00012 DOUBLE PRECISION AD( * ), AE( * ), RESULT( 2 ), SD( * ), 00013 $ SE( * ), U( LDU, * ), WORK( LDWORK, * ) 00014 * .. 00015 * 00016 * Purpose 00017 * ======= 00018 * 00019 * DSTT22 checks a set of M eigenvalues and eigenvectors, 00020 * 00021 * A U = U S 00022 * 00023 * where A is symmetric tridiagonal, the columns of U are orthogonal, 00024 * and S is diagonal (if KBAND=0) or symmetric tridiagonal (if KBAND=1). 00025 * Two tests are performed: 00026 * 00027 * RESULT(1) = | U' A U - S | / ( |A| m ulp ) 00028 * 00029 * RESULT(2) = | I - U'U | / ( m ulp ) 00030 * 00031 * Arguments 00032 * ========= 00033 * 00034 * N (input) INTEGER 00035 * The size of the matrix. If it is zero, DSTT22 does nothing. 00036 * It must be at least zero. 00037 * 00038 * M (input) INTEGER 00039 * The number of eigenpairs to check. If it is zero, DSTT22 00040 * does nothing. It must be at least zero. 00041 * 00042 * KBAND (input) INTEGER 00043 * The bandwidth of the matrix S. It may only be zero or one. 00044 * If zero, then S is diagonal, and SE is not referenced. If 00045 * one, then S is symmetric tri-diagonal. 00046 * 00047 * AD (input) DOUBLE PRECISION array, dimension (N) 00048 * The diagonal of the original (unfactored) matrix A. A is 00049 * assumed to be symmetric tridiagonal. 00050 * 00051 * AE (input) DOUBLE PRECISION array, dimension (N) 00052 * The off-diagonal of the original (unfactored) matrix A. A 00053 * is assumed to be symmetric tridiagonal. AE(1) is ignored, 00054 * AE(2) is the (1,2) and (2,1) element, etc. 00055 * 00056 * SD (input) DOUBLE PRECISION array, dimension (N) 00057 * The diagonal of the (symmetric tri-) diagonal matrix S. 00058 * 00059 * SE (input) DOUBLE PRECISION array, dimension (N) 00060 * The off-diagonal of the (symmetric tri-) diagonal matrix S. 00061 * Not referenced if KBSND=0. If KBAND=1, then AE(1) is 00062 * ignored, SE(2) is the (1,2) and (2,1) element, etc. 00063 * 00064 * U (input) DOUBLE PRECISION array, dimension (LDU, N) 00065 * The orthogonal matrix in the decomposition. 00066 * 00067 * LDU (input) INTEGER 00068 * The leading dimension of U. LDU must be at least N. 00069 * 00070 * WORK (workspace) DOUBLE PRECISION array, dimension (LDWORK, M+1) 00071 * 00072 * LDWORK (input) INTEGER 00073 * The leading dimension of WORK. LDWORK must be at least 00074 * max(1,M). 00075 * 00076 * RESULT (output) DOUBLE PRECISION array, dimension (2) 00077 * The values computed by the two tests described above. The 00078 * values are currently limited to 1/ulp, to avoid overflow. 00079 * 00080 * ===================================================================== 00081 * 00082 * .. Parameters .. 00083 DOUBLE PRECISION ZERO, ONE 00084 PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0 ) 00085 * .. 00086 * .. Local Scalars .. 00087 INTEGER I, J, K 00088 DOUBLE PRECISION ANORM, AUKJ, ULP, UNFL, WNORM 00089 * .. 00090 * .. External Functions .. 00091 DOUBLE PRECISION DLAMCH, DLANGE, DLANSY 00092 EXTERNAL DLAMCH, DLANGE, DLANSY 00093 * .. 00094 * .. External Subroutines .. 00095 EXTERNAL DGEMM 00096 * .. 00097 * .. Intrinsic Functions .. 00098 INTRINSIC ABS, DBLE, MAX, MIN 00099 * .. 00100 * .. Executable Statements .. 00101 * 00102 RESULT( 1 ) = ZERO 00103 RESULT( 2 ) = ZERO 00104 IF( N.LE.0 .OR. M.LE.0 ) 00105 $ RETURN 00106 * 00107 UNFL = DLAMCH( 'Safe minimum' ) 00108 ULP = DLAMCH( 'Epsilon' ) 00109 * 00110 * Do Test 1 00111 * 00112 * Compute the 1-norm of A. 00113 * 00114 IF( N.GT.1 ) THEN 00115 ANORM = ABS( AD( 1 ) ) + ABS( AE( 1 ) ) 00116 DO 10 J = 2, N - 1 00117 ANORM = MAX( ANORM, ABS( AD( J ) )+ABS( AE( J ) )+ 00118 $ ABS( AE( J-1 ) ) ) 00119 10 CONTINUE 00120 ANORM = MAX( ANORM, ABS( AD( N ) )+ABS( AE( N-1 ) ) ) 00121 ELSE 00122 ANORM = ABS( AD( 1 ) ) 00123 END IF 00124 ANORM = MAX( ANORM, UNFL ) 00125 * 00126 * Norm of U'AU - S 00127 * 00128 DO 40 I = 1, M 00129 DO 30 J = 1, M 00130 WORK( I, J ) = ZERO 00131 DO 20 K = 1, N 00132 AUKJ = AD( K )*U( K, J ) 00133 IF( K.NE.N ) 00134 $ AUKJ = AUKJ + AE( K )*U( K+1, J ) 00135 IF( K.NE.1 ) 00136 $ AUKJ = AUKJ + AE( K-1 )*U( K-1, J ) 00137 WORK( I, J ) = WORK( I, J ) + U( K, I )*AUKJ 00138 20 CONTINUE 00139 30 CONTINUE 00140 WORK( I, I ) = WORK( I, I ) - SD( I ) 00141 IF( KBAND.EQ.1 ) THEN 00142 IF( I.NE.1 ) 00143 $ WORK( I, I-1 ) = WORK( I, I-1 ) - SE( I-1 ) 00144 IF( I.NE.N ) 00145 $ WORK( I, I+1 ) = WORK( I, I+1 ) - SE( I ) 00146 END IF 00147 40 CONTINUE 00148 * 00149 WNORM = DLANSY( '1', 'L', M, WORK, M, WORK( 1, M+1 ) ) 00150 * 00151 IF( ANORM.GT.WNORM ) THEN 00152 RESULT( 1 ) = ( WNORM / ANORM ) / ( M*ULP ) 00153 ELSE 00154 IF( ANORM.LT.ONE ) THEN 00155 RESULT( 1 ) = ( MIN( WNORM, M*ANORM ) / ANORM ) / ( M*ULP ) 00156 ELSE 00157 RESULT( 1 ) = MIN( WNORM / ANORM, DBLE( M ) ) / ( M*ULP ) 00158 END IF 00159 END IF 00160 * 00161 * Do Test 2 00162 * 00163 * Compute U'U - I 00164 * 00165 CALL DGEMM( 'T', 'N', M, M, N, ONE, U, LDU, U, LDU, ZERO, WORK, 00166 $ M ) 00167 * 00168 DO 50 J = 1, M 00169 WORK( J, J ) = WORK( J, J ) - ONE 00170 50 CONTINUE 00171 * 00172 RESULT( 2 ) = MIN( DBLE( M ), DLANGE( '1', M, M, WORK, M, WORK( 1, 00173 $ M+1 ) ) ) / ( M*ULP ) 00174 * 00175 RETURN 00176 * 00177 * End of DSTT22 00178 * 00179 END