SUBROUTINE CCHKST( NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, $ NOUNIT, A, LDA, AP, SD, SE, D1, D2, D3, D4, D5, $ WA1, WA2, WA3, WR, U, LDU, V, VP, TAU, Z, WORK, $ LWORK, RWORK, LRWORK, IWORK, LIWORK, RESULT, $ INFO ) IMPLICIT NONE * * -- LAPACK test routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER INFO, LDA, LDU, LIWORK, LRWORK, LWORK, NOUNIT, $ NSIZES, NTYPES REAL THRESH * .. * .. Array Arguments .. LOGICAL DOTYPE( * ) INTEGER ISEED( 4 ), IWORK( * ), NN( * ) REAL D1( * ), D2( * ), D3( * ), D4( * ), D5( * ), $ RESULT( * ), RWORK( * ), SD( * ), SE( * ), $ WA1( * ), WA2( * ), WA3( * ), WR( * ) COMPLEX A( LDA, * ), AP( * ), TAU( * ), U( LDU, * ), $ V( LDU, * ), VP( * ), WORK( * ), Z( LDU, * ) * .. * * Purpose * ======= * * CCHKST checks the Hermitian eigenvalue problem routines. * * CHETRD factors A as U S U* , where * means conjugate transpose, * S is real symmetric tridiagonal, and U is unitary. * CHETRD can use either just the lower or just the upper triangle * of A; CCHKST checks both cases. * U is represented as a product of Householder * transformations, whose vectors are stored in the first * n-1 columns of V, and whose scale factors are in TAU. * * CHPTRD does the same as CHETRD, except that A and V are stored * in "packed" format. * * CUNGTR constructs the matrix U from the contents of V and TAU. * * CUPGTR constructs the matrix U from the contents of VP and TAU. * * CSTEQR factors S as Z D1 Z* , where Z is the unitary * matrix of eigenvectors and D1 is a diagonal matrix with * the eigenvalues on the diagonal. D2 is the matrix of * eigenvalues computed when Z is not computed. * * SSTERF computes D3, the matrix of eigenvalues, by the * PWK method, which does not yield eigenvectors. * * CPTEQR factors S as Z4 D4 Z4* , for a * Hermitian positive definite tridiagonal matrix. * D5 is the matrix of eigenvalues computed when Z is not * computed. * * SSTEBZ computes selected eigenvalues. WA1, WA2, and * WA3 will denote eigenvalues computed to high * absolute accuracy, with different range options. * WR will denote eigenvalues computed to high relative * accuracy. * * CSTEIN computes Y, the eigenvectors of S, given the * eigenvalues. * * CSTEDC factors S as Z D1 Z* , where Z is the unitary * matrix of eigenvectors and D1 is a diagonal matrix with * the eigenvalues on the diagonal ('I' option). It may also * update an input unitary matrix, usually the output * from CHETRD/CUNGTR or CHPTRD/CUPGTR ('V' option). It may * also just compute eigenvalues ('N' option). * * CSTEMR factors S as Z D1 Z* , where Z is the unitary * matrix of eigenvectors and D1 is a diagonal matrix with * the eigenvalues on the diagonal ('I' option). CSTEMR * uses the Relatively Robust Representation whenever possible. * * When CCHKST is called, a number of matrix "sizes" ("n's") and a * number of matrix "types" are specified. For each size ("n") * and each type of matrix, one matrix will be generated and used * to test the Hermitian eigenroutines. For each matrix, a number * of tests will be performed: * * (1) | A - V S V* | / ( |A| n ulp ) CHETRD( UPLO='U', ... ) * * (2) | I - UV* | / ( n ulp ) CUNGTR( UPLO='U', ... ) * * (3) | A - V S V* | / ( |A| n ulp ) CHETRD( UPLO='L', ... ) * * (4) | I - UV* | / ( n ulp ) CUNGTR( UPLO='L', ... ) * * (5-8) Same as 1-4, but for CHPTRD and CUPGTR. * * (9) | S - Z D Z* | / ( |S| n ulp ) CSTEQR('V',...) * * (10) | I - ZZ* | / ( n ulp ) CSTEQR('V',...) * * (11) | D1 - D2 | / ( |D1| ulp ) CSTEQR('N',...) * * (12) | D1 - D3 | / ( |D1| ulp ) SSTERF * * (13) 0 if the true eigenvalues (computed by sturm count) * of S are within THRESH of * those in D1. 2*THRESH if they are not. (Tested using * SSTECH) * * For S positive definite, * * (14) | S - Z4 D4 Z4* | / ( |S| n ulp ) CPTEQR('V',...) * * (15) | I - Z4 Z4* | / ( n ulp ) CPTEQR('V',...) * * (16) | D4 - D5 | / ( 100 |D4| ulp ) CPTEQR('N',...) * * When S is also diagonally dominant by the factor gamma < 1, * * (17) max | D4(i) - WR(i) | / ( |D4(i)| omega ) , * i * omega = 2 (2n-1) ULP (1 + 8 gamma**2) / (1 - gamma)**4 * SSTEBZ( 'A', 'E', ...) * * (18) | WA1 - D3 | / ( |D3| ulp ) SSTEBZ( 'A', 'E', ...) * * (19) ( max { min | WA2(i)-WA3(j) | } + * i j * max { min | WA3(i)-WA2(j) | } ) / ( |D3| ulp ) * i j * SSTEBZ( 'I', 'E', ...) * * (20) | S - Y WA1 Y* | / ( |S| n ulp ) SSTEBZ, CSTEIN * * (21) | I - Y Y* | / ( n ulp ) SSTEBZ, CSTEIN * * (22) | S - Z D Z* | / ( |S| n ulp ) CSTEDC('I') * * (23) | I - ZZ* | / ( n ulp ) CSTEDC('I') * * (24) | S - Z D Z* | / ( |S| n ulp ) CSTEDC('V') * * (25) | I - ZZ* | / ( n ulp ) CSTEDC('V') * * (26) | D1 - D2 | / ( |D1| ulp ) CSTEDC('V') and * CSTEDC('N') * * Test 27 is disabled at the moment because CSTEMR does not * guarantee high relatvie accuracy. * * (27) max | D6(i) - WR(i) | / ( |D6(i)| omega ) , * i * omega = 2 (2n-1) ULP (1 + 8 gamma**2) / (1 - gamma)**4 * CSTEMR('V', 'A') * * (28) max | D6(i) - WR(i) | / ( |D6(i)| omega ) , * i * omega = 2 (2n-1) ULP (1 + 8 gamma**2) / (1 - gamma)**4 * CSTEMR('V', 'I') * * Tests 29 through 34 are disable at present because CSTEMR * does not handle partial specturm requests. * * (29) | S - Z D Z* | / ( |S| n ulp ) CSTEMR('V', 'I') * * (30) | I - ZZ* | / ( n ulp ) CSTEMR('V', 'I') * * (31) ( max { min | WA2(i)-WA3(j) | } + * i j * max { min | WA3(i)-WA2(j) | } ) / ( |D3| ulp ) * i j * CSTEMR('N', 'I') vs. CSTEMR('V', 'I') * * (32) | S - Z D Z* | / ( |S| n ulp ) CSTEMR('V', 'V') * * (33) | I - ZZ* | / ( n ulp ) CSTEMR('V', 'V') * * (34) ( max { min | WA2(i)-WA3(j) | } + * i j * max { min | WA3(i)-WA2(j) | } ) / ( |D3| ulp ) * i j * CSTEMR('N', 'V') vs. CSTEMR('V', 'V') * * (35) | S - Z D Z* | / ( |S| n ulp ) CSTEMR('V', 'A') * * (36) | I - ZZ* | / ( n ulp ) CSTEMR('V', 'A') * * (37) ( max { min | WA2(i)-WA3(j) | } + * i j * max { min | WA3(i)-WA2(j) | } ) / ( |D3| ulp ) * i j * CSTEMR('N', 'A') vs. CSTEMR('V', 'A') * * The "sizes" are specified by an array NN(1:NSIZES); the value of * each element NN(j) specifies one size. * The "types" are specified by a logical array DOTYPE( 1:NTYPES ); * if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. * Currently, the list of possible types is: * * (1) The zero matrix. * (2) The identity matrix. * * (3) A diagonal matrix with evenly spaced entries * 1, ..., ULP and random signs. * (ULP = (first number larger than 1) - 1 ) * (4) A diagonal matrix with geometrically spaced entries * 1, ..., ULP and random signs. * (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP * and random signs. * * (6) Same as (4), but multiplied by SQRT( overflow threshold ) * (7) Same as (4), but multiplied by SQRT( underflow threshold ) * * (8) A matrix of the form U* D U, where U is unitary and * D has evenly spaced entries 1, ..., ULP with random signs * on the diagonal. * * (9) A matrix of the form U* D U, where U is unitary and * D has geometrically spaced entries 1, ..., ULP with random * signs on the diagonal. * * (10) A matrix of the form U* D U, where U is unitary and * D has "clustered" entries 1, ULP,..., ULP with random * signs on the diagonal. * * (11) Same as (8), but multiplied by SQRT( overflow threshold ) * (12) Same as (8), but multiplied by SQRT( underflow threshold ) * * (13) Hermitian matrix with random entries chosen from (-1,1). * (14) Same as (13), but multiplied by SQRT( overflow threshold ) * (15) Same as (13), but multiplied by SQRT( underflow threshold ) * (16) Same as (8), but diagonal elements are all positive. * (17) Same as (9), but diagonal elements are all positive. * (18) Same as (10), but diagonal elements are all positive. * (19) Same as (16), but multiplied by SQRT( overflow threshold ) * (20) Same as (16), but multiplied by SQRT( underflow threshold ) * (21) A diagonally dominant tridiagonal matrix with geometrically * spaced diagonal entries 1, ..., ULP. * * Arguments * ========= * * NSIZES (input) INTEGER * The number of sizes of matrices to use. If it is zero, * CCHKST does nothing. It must be at least zero. * * NN (input) INTEGER array, dimension (NSIZES) * An array containing the sizes to be used for the matrices. * Zero values will be skipped. The values must be at least * zero. * * NTYPES (input) INTEGER * The number of elements in DOTYPE. If it is zero, CCHKST * does nothing. It must be at least zero. If it is MAXTYP+1 * and NSIZES is 1, then an additional type, MAXTYP+1 is * defined, which is to use whatever matrix is in A. This * is only useful if DOTYPE(1:MAXTYP) is .FALSE. and * DOTYPE(MAXTYP+1) is .TRUE. . * * DOTYPE (input) LOGICAL array, dimension (NTYPES) * If DOTYPE(j) is .TRUE., then for each size in NN a * matrix of that size and of type j will be generated. * If NTYPES is smaller than the maximum number of types * defined (PARAMETER MAXTYP), then types NTYPES+1 through * MAXTYP will not be generated. If NTYPES is larger * than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) * will be ignored. * * ISEED (input/output) INTEGER array, dimension (4) * On entry ISEED specifies the seed of the random number * generator. The array elements should be between 0 and 4095; * if not they will be reduced mod 4096. Also, ISEED(4) must * be odd. The random number generator uses a linear * congruential sequence limited to small integers, and so * should produce machine independent random numbers. The * values of ISEED are changed on exit, and can be used in the * next call to CCHKST to continue the same random number * sequence. * * THRESH (input) REAL * A test will count as "failed" if the "error", computed as * described above, exceeds THRESH. Note that the error * is scaled to be O(1), so THRESH should be a reasonably * small multiple of 1, e.g., 10 or 100. In particular, * it should not depend on the precision (single vs. double) * or the size of the matrix. It must be at least zero. * * NOUNIT (input) INTEGER * The FORTRAN unit number for printing out error messages * (e.g., if a routine returns IINFO not equal to 0.) * * A (input/workspace/output) COMPLEX array of * dimension ( LDA , max(NN) ) * Used to hold the matrix whose eigenvalues are to be * computed. On exit, A contains the last matrix actually * used. * * LDA (input) INTEGER * The leading dimension of A. It must be at * least 1 and at least max( NN ). * * AP (workspace) COMPLEX array of * dimension( max(NN)*max(NN+1)/2 ) * The matrix A stored in packed format. * * SD (workspace/output) REAL array of * dimension( max(NN) ) * The diagonal of the tridiagonal matrix computed by CHETRD. * On exit, SD and SE contain the tridiagonal form of the * matrix in A. * * SE (workspace/output) REAL array of * dimension( max(NN) ) * The off-diagonal of the tridiagonal matrix computed by * CHETRD. On exit, SD and SE contain the tridiagonal form of * the matrix in A. * * D1 (workspace/output) REAL array of * dimension( max(NN) ) * The eigenvalues of A, as computed by CSTEQR simlutaneously * with Z. On exit, the eigenvalues in D1 correspond with the * matrix in A. * * D2 (workspace/output) REAL array of * dimension( max(NN) ) * The eigenvalues of A, as computed by CSTEQR if Z is not * computed. On exit, the eigenvalues in D2 correspond with * the matrix in A. * * D3 (workspace/output) REAL array of * dimension( max(NN) ) * The eigenvalues of A, as computed by SSTERF. On exit, the * eigenvalues in D3 correspond with the matrix in A. * * U (workspace/output) COMPLEX array of * dimension( LDU, max(NN) ). * The unitary matrix computed by CHETRD + CUNGTR. * * LDU (input) INTEGER * The leading dimension of U, Z, and V. It must be at least 1 * and at least max( NN ). * * V (workspace/output) COMPLEX array of * dimension( LDU, max(NN) ). * The Housholder vectors computed by CHETRD in reducing A to * tridiagonal form. The vectors computed with UPLO='U' are * in the upper triangle, and the vectors computed with UPLO='L' * are in the lower triangle. (As described in CHETRD, the * sub- and superdiagonal are not set to 1, although the * true Householder vector has a 1 in that position. The * routines that use V, such as CUNGTR, set those entries to * 1 before using them, and then restore them later.) * * VP (workspace) COMPLEX array of * dimension( max(NN)*max(NN+1)/2 ) * The matrix V stored in packed format. * * TAU (workspace/output) COMPLEX array of * dimension( max(NN) ) * The Householder factors computed by CHETRD in reducing A * to tridiagonal form. * * Z (workspace/output) COMPLEX array of * dimension( LDU, max(NN) ). * The unitary matrix of eigenvectors computed by CSTEQR, * CPTEQR, and CSTEIN. * * WORK (workspace/output) COMPLEX array of * dimension( LWORK ) * * LWORK (input) INTEGER * The number of entries in WORK. This must be at least * 1 + 4 * Nmax + 2 * Nmax * lg Nmax + 3 * Nmax**2 * where Nmax = max( NN(j), 2 ) and lg = log base 2. * * IWORK (workspace/output) INTEGER array, * dimension (6 + 6*Nmax + 5 * Nmax * lg Nmax ) * where Nmax = max( NN(j), 2 ) and lg = log base 2. * Workspace. * * RWORK (workspace/output) REAL array of * dimension( ??? ) * * RESULT (output) REAL array, dimension (26) * The values computed by the tests described above. * The values are currently limited to 1/ulp, to avoid * overflow. * * INFO (output) INTEGER * If 0, then everything ran OK. * -1: NSIZES < 0 * -2: Some NN(j) < 0 * -3: NTYPES < 0 * -5: THRESH < 0 * -9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). * -23: LDU < 1 or LDU < NMAX. * -29: LWORK too small. * If CLATMR, CLATMS, CHETRD, CUNGTR, CSTEQR, SSTERF, * or CUNMC2 returns an error code, the * absolute value of it is returned. * *----------------------------------------------------------------------- * * Some Local Variables and Parameters: * ---- ----- --------- --- ---------- * ZERO, ONE Real 0 and 1. * MAXTYP The number of types defined. * NTEST The number of tests performed, or which can * be performed so far, for the current matrix. * NTESTT The total number of tests performed so far. * NBLOCK Blocksize as returned by ENVIR. * NMAX Largest value in NN. * NMATS The number of matrices generated so far. * NERRS The number of tests which have exceeded THRESH * so far. * COND, IMODE Values to be passed to the matrix generators. * ANORM Norm of A; passed to matrix generators. * * OVFL, UNFL Overflow and underflow thresholds. * ULP, ULPINV Finest relative precision and its inverse. * RTOVFL, RTUNFL Square roots of the previous 2 values. * The following four arrays decode JTYPE: * KTYPE(j) The general type (1-10) for type "j". * KMODE(j) The MODE value to be passed to the matrix * generator for type "j". * KMAGN(j) The order of magnitude ( O(1), * O(overflow^(1/2) ), O(underflow^(1/2) ) * * ===================================================================== * * .. Parameters .. REAL ZERO, ONE, TWO, EIGHT, TEN, HUN PARAMETER ( ZERO = 0.0E0, ONE = 1.0E0, TWO = 2.0E0, $ EIGHT = 8.0E0, TEN = 10.0E0, HUN = 100.0E0 ) COMPLEX CZERO, CONE PARAMETER ( CZERO = ( 0.0E+0, 0.0E+0 ), $ CONE = ( 1.0E+0, 0.0E+0 ) ) REAL HALF PARAMETER ( HALF = ONE / TWO ) INTEGER MAXTYP PARAMETER ( MAXTYP = 21 ) LOGICAL CRANGE PARAMETER ( CRANGE = .FALSE. ) LOGICAL CREL PARAMETER ( CREL = .FALSE. ) * .. * .. Local Scalars .. LOGICAL BADNN, TRYRAC INTEGER I, IINFO, IL, IMODE, INDE, INDRWK, ITEMP, $ ITYPE, IU, J, JC, JR, JSIZE, JTYPE, LGN, $ LIWEDC, LOG2UI, LRWEDC, LWEDC, M, M2, M3, $ MTYPES, N, NAP, NBLOCK, NERRS, NMATS, NMAX, $ NSPLIT, NTEST, NTESTT REAL ABSTOL, ANINV, ANORM, COND, OVFL, RTOVFL, $ RTUNFL, TEMP1, TEMP2, TEMP3, TEMP4, ULP, $ ULPINV, UNFL, VL, VU * .. * .. Local Arrays .. INTEGER IDUMMA( 1 ), IOLDSD( 4 ), ISEED2( 4 ), $ KMAGN( MAXTYP ), KMODE( MAXTYP ), $ KTYPE( MAXTYP ) REAL DUMMA( 1 ) * .. * .. External Functions .. INTEGER ILAENV REAL SLAMCH, SLARND, SSXT1 EXTERNAL ILAENV, SLAMCH, SLARND, SSXT1 * .. * .. External Subroutines .. EXTERNAL CCOPY, CHET21, CHETRD, CHPT21, CHPTRD, CLACPY, $ CLASET, CLATMR, CLATMS, CPTEQR, CSTEDC, CSTEMR, $ CSTEIN, CSTEQR, CSTT21, CSTT22, CUNGTR, CUPGTR, $ SCOPY, SLABAD, SLASUM, SSTEBZ, SSTECH, SSTERF, $ XERBLA * .. * .. Intrinsic Functions .. INTRINSIC ABS, CONJG, INT, LOG, MAX, MIN, REAL, SQRT * .. * .. Data statements .. DATA KTYPE / 1, 2, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 8, $ 8, 8, 9, 9, 9, 9, 9, 10 / DATA KMAGN / 1, 1, 1, 1, 1, 2, 3, 1, 1, 1, 2, 3, 1, $ 2, 3, 1, 1, 1, 2, 3, 1 / DATA KMODE / 0, 0, 4, 3, 1, 4, 4, 4, 3, 1, 4, 4, 0, $ 0, 0, 4, 3, 1, 4, 4, 3 / * .. * .. Executable Statements .. * * Keep ftnchek happy IDUMMA( 1 ) = 1 * * Check for errors * NTESTT = 0 INFO = 0 * * Important constants * BADNN = .FALSE. TRYRAC = .TRUE. NMAX = 1 DO 10 J = 1, NSIZES NMAX = MAX( NMAX, NN( J ) ) IF( NN( J ).LT.0 ) $ BADNN = .TRUE. 10 CONTINUE * NBLOCK = ILAENV( 1, 'CHETRD', 'L', NMAX, -1, -1, -1 ) NBLOCK = MIN( NMAX, MAX( 1, NBLOCK ) ) * * Check for errors * IF( NSIZES.LT.0 ) THEN INFO = -1 ELSE IF( BADNN ) THEN INFO = -2 ELSE IF( NTYPES.LT.0 ) THEN INFO = -3 ELSE IF( LDA.LT.NMAX ) THEN INFO = -9 ELSE IF( LDU.LT.NMAX ) THEN INFO = -23 ELSE IF( 2*MAX( 2, NMAX )**2.GT.LWORK ) THEN INFO = -29 END IF * IF( INFO.NE.0 ) THEN CALL XERBLA( 'CCHKST', -INFO ) RETURN END IF * * Quick return if possible * IF( NSIZES.EQ.0 .OR. NTYPES.EQ.0 ) $ RETURN * * More Important constants * UNFL = SLAMCH( 'Safe minimum' ) OVFL = ONE / UNFL CALL SLABAD( UNFL, OVFL ) ULP = SLAMCH( 'Epsilon' )*SLAMCH( 'Base' ) ULPINV = ONE / ULP LOG2UI = INT( LOG( ULPINV ) / LOG( TWO ) ) RTUNFL = SQRT( UNFL ) RTOVFL = SQRT( OVFL ) * * Loop over sizes, types * DO 20 I = 1, 4 ISEED2( I ) = ISEED( I ) 20 CONTINUE NERRS = 0 NMATS = 0 * DO 310 JSIZE = 1, NSIZES N = NN( JSIZE ) IF( N.GT.0 ) THEN LGN = INT( LOG( REAL( N ) ) / LOG( TWO ) ) IF( 2**LGN.LT.N ) $ LGN = LGN + 1 IF( 2**LGN.LT.N ) $ LGN = LGN + 1 LWEDC = 1 + 4*N + 2*N*LGN + 3*N**2 LRWEDC = 1 + 3*N + 2*N*LGN + 3*N**2 LIWEDC = 6 + 6*N + 5*N*LGN ELSE LWEDC = 8 LRWEDC = 7 LIWEDC = 12 END IF NAP = ( N*( N+1 ) ) / 2 ANINV = ONE / REAL( MAX( 1, N ) ) * IF( NSIZES.NE.1 ) THEN MTYPES = MIN( MAXTYP, NTYPES ) ELSE MTYPES = MIN( MAXTYP+1, NTYPES ) END IF * DO 300 JTYPE = 1, MTYPES IF( .NOT.DOTYPE( JTYPE ) ) $ GO TO 300 NMATS = NMATS + 1 NTEST = 0 * DO 30 J = 1, 4 IOLDSD( J ) = ISEED( J ) 30 CONTINUE * * Compute "A" * * Control parameters: * * KMAGN KMODE KTYPE * =1 O(1) clustered 1 zero * =2 large clustered 2 identity * =3 small exponential (none) * =4 arithmetic diagonal, (w/ eigenvalues) * =5 random log Hermitian, w/ eigenvalues * =6 random (none) * =7 random diagonal * =8 random Hermitian * =9 positive definite * =10 diagonally dominant tridiagonal * IF( MTYPES.GT.MAXTYP ) $ GO TO 100 * ITYPE = KTYPE( JTYPE ) IMODE = KMODE( JTYPE ) * * Compute norm * GO TO ( 40, 50, 60 )KMAGN( JTYPE ) * 40 CONTINUE ANORM = ONE GO TO 70 * 50 CONTINUE ANORM = ( RTOVFL*ULP )*ANINV GO TO 70 * 60 CONTINUE ANORM = RTUNFL*N*ULPINV GO TO 70 * 70 CONTINUE * CALL CLASET( 'Full', LDA, N, CZERO, CZERO, A, LDA ) IINFO = 0 IF( JTYPE.LE.15 ) THEN COND = ULPINV ELSE COND = ULPINV*ANINV / TEN END IF * * Special Matrices -- Identity & Jordan block * * Zero * IF( ITYPE.EQ.1 ) THEN IINFO = 0 * ELSE IF( ITYPE.EQ.2 ) THEN * * Identity * DO 80 JC = 1, N A( JC, JC ) = ANORM 80 CONTINUE * ELSE IF( ITYPE.EQ.4 ) THEN * * Diagonal Matrix, [Eigen]values Specified * CALL CLATMS( N, N, 'S', ISEED, 'H', RWORK, IMODE, COND, $ ANORM, 0, 0, 'N', A, LDA, WORK, IINFO ) * * ELSE IF( ITYPE.EQ.5 ) THEN * * Hermitian, eigenvalues specified * CALL CLATMS( N, N, 'S', ISEED, 'H', RWORK, IMODE, COND, $ ANORM, N, N, 'N', A, LDA, WORK, IINFO ) * ELSE IF( ITYPE.EQ.7 ) THEN * * Diagonal, random eigenvalues * CALL CLATMR( N, N, 'S', ISEED, 'H', WORK, 6, ONE, CONE, $ 'T', 'N', WORK( N+1 ), 1, ONE, $ WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, 0, 0, $ ZERO, ANORM, 'NO', A, LDA, IWORK, IINFO ) * ELSE IF( ITYPE.EQ.8 ) THEN * * Hermitian, random eigenvalues * CALL CLATMR( N, N, 'S', ISEED, 'H', WORK, 6, ONE, CONE, $ 'T', 'N', WORK( N+1 ), 1, ONE, $ WORK( 2*N+1 ), 1, ONE, 'N', IDUMMA, N, N, $ ZERO, ANORM, 'NO', A, LDA, IWORK, IINFO ) * ELSE IF( ITYPE.EQ.9 ) THEN * * Positive definite, eigenvalues specified. * CALL CLATMS( N, N, 'S', ISEED, 'P', RWORK, IMODE, COND, $ ANORM, N, N, 'N', A, LDA, WORK, IINFO ) * ELSE IF( ITYPE.EQ.10 ) THEN * * Positive definite tridiagonal, eigenvalues specified. * CALL CLATMS( N, N, 'S', ISEED, 'P', RWORK, IMODE, COND, $ ANORM, 1, 1, 'N', A, LDA, WORK, IINFO ) DO 90 I = 2, N TEMP1 = ABS( A( I-1, I ) ) TEMP2 = SQRT( ABS( A( I-1, I-1 )*A( I, I ) ) ) IF( TEMP1.GT.HALF*TEMP2 ) THEN A( I-1, I ) = A( I-1, I )* $ ( HALF*TEMP2 / ( UNFL+TEMP1 ) ) A( I, I-1 ) = CONJG( A( I-1, I ) ) END IF 90 CONTINUE * ELSE * IINFO = 1 END IF * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'Generator', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) RETURN END IF * 100 CONTINUE * * Call CHETRD and CUNGTR to compute S and U from * upper triangle. * CALL CLACPY( 'U', N, N, A, LDA, V, LDU ) * NTEST = 1 CALL CHETRD( 'U', N, V, LDU, SD, SE, TAU, WORK, LWORK, $ IINFO ) * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CHETRD(U)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 1 ) = ULPINV GO TO 280 END IF END IF * CALL CLACPY( 'U', N, N, V, LDU, U, LDU ) * NTEST = 2 CALL CUNGTR( 'U', N, U, LDU, TAU, WORK, LWORK, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CUNGTR(U)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 2 ) = ULPINV GO TO 280 END IF END IF * * Do tests 1 and 2 * CALL CHET21( 2, 'Upper', N, 1, A, LDA, SD, SE, U, LDU, V, $ LDU, TAU, WORK, RWORK, RESULT( 1 ) ) CALL CHET21( 3, 'Upper', N, 1, A, LDA, SD, SE, U, LDU, V, $ LDU, TAU, WORK, RWORK, RESULT( 2 ) ) * * Call CHETRD and CUNGTR to compute S and U from * lower triangle, do tests. * CALL CLACPY( 'L', N, N, A, LDA, V, LDU ) * NTEST = 3 CALL CHETRD( 'L', N, V, LDU, SD, SE, TAU, WORK, LWORK, $ IINFO ) * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CHETRD(L)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 3 ) = ULPINV GO TO 280 END IF END IF * CALL CLACPY( 'L', N, N, V, LDU, U, LDU ) * NTEST = 4 CALL CUNGTR( 'L', N, U, LDU, TAU, WORK, LWORK, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CUNGTR(L)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 4 ) = ULPINV GO TO 280 END IF END IF * CALL CHET21( 2, 'Lower', N, 1, A, LDA, SD, SE, U, LDU, V, $ LDU, TAU, WORK, RWORK, RESULT( 3 ) ) CALL CHET21( 3, 'Lower', N, 1, A, LDA, SD, SE, U, LDU, V, $ LDU, TAU, WORK, RWORK, RESULT( 4 ) ) * * Store the upper triangle of A in AP * I = 0 DO 120 JC = 1, N DO 110 JR = 1, JC I = I + 1 AP( I ) = A( JR, JC ) 110 CONTINUE 120 CONTINUE * * Call CHPTRD and CUPGTR to compute S and U from AP * CALL CCOPY( NAP, AP, 1, VP, 1 ) * NTEST = 5 CALL CHPTRD( 'U', N, VP, SD, SE, TAU, IINFO ) * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CHPTRD(U)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 5 ) = ULPINV GO TO 280 END IF END IF * NTEST = 6 CALL CUPGTR( 'U', N, VP, TAU, U, LDU, WORK, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CUPGTR(U)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 6 ) = ULPINV GO TO 280 END IF END IF * * Do tests 5 and 6 * CALL CHPT21( 2, 'Upper', N, 1, AP, SD, SE, U, LDU, VP, TAU, $ WORK, RWORK, RESULT( 5 ) ) CALL CHPT21( 3, 'Upper', N, 1, AP, SD, SE, U, LDU, VP, TAU, $ WORK, RWORK, RESULT( 6 ) ) * * Store the lower triangle of A in AP * I = 0 DO 140 JC = 1, N DO 130 JR = JC, N I = I + 1 AP( I ) = A( JR, JC ) 130 CONTINUE 140 CONTINUE * * Call CHPTRD and CUPGTR to compute S and U from AP * CALL CCOPY( NAP, AP, 1, VP, 1 ) * NTEST = 7 CALL CHPTRD( 'L', N, VP, SD, SE, TAU, IINFO ) * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CHPTRD(L)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 7 ) = ULPINV GO TO 280 END IF END IF * NTEST = 8 CALL CUPGTR( 'L', N, VP, TAU, U, LDU, WORK, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CUPGTR(L)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 8 ) = ULPINV GO TO 280 END IF END IF * CALL CHPT21( 2, 'Lower', N, 1, AP, SD, SE, U, LDU, VP, TAU, $ WORK, RWORK, RESULT( 7 ) ) CALL CHPT21( 3, 'Lower', N, 1, AP, SD, SE, U, LDU, VP, TAU, $ WORK, RWORK, RESULT( 8 ) ) * * Call CSTEQR to compute D1, D2, and Z, do tests. * * Compute D1 and Z * CALL SCOPY( N, SD, 1, D1, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 9 CALL CSTEQR( 'V', N, D1, RWORK, Z, LDU, RWORK( N+1 ), $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEQR(V)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 9 ) = ULPINV GO TO 280 END IF END IF * * Compute D2 * CALL SCOPY( N, SD, 1, D2, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 11 CALL CSTEQR( 'N', N, D2, RWORK, WORK, LDU, RWORK( N+1 ), $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEQR(N)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 11 ) = ULPINV GO TO 280 END IF END IF * * Compute D3 (using PWK method) * CALL SCOPY( N, SD, 1, D3, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 12 CALL SSTERF( N, D3, RWORK, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTERF', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 12 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 9 and 10 * CALL CSTT21( N, 0, SD, SE, D1, DUMMA, Z, LDU, WORK, RWORK, $ RESULT( 9 ) ) * * Do Tests 11 and 12 * TEMP1 = ZERO TEMP2 = ZERO TEMP3 = ZERO TEMP4 = ZERO * DO 150 J = 1, N TEMP1 = MAX( TEMP1, ABS( D1( J ) ), ABS( D2( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D1( J )-D2( J ) ) ) TEMP3 = MAX( TEMP3, ABS( D1( J ) ), ABS( D3( J ) ) ) TEMP4 = MAX( TEMP4, ABS( D1( J )-D3( J ) ) ) 150 CONTINUE * RESULT( 11 ) = TEMP2 / MAX( UNFL, ULP*MAX( TEMP1, TEMP2 ) ) RESULT( 12 ) = TEMP4 / MAX( UNFL, ULP*MAX( TEMP3, TEMP4 ) ) * * Do Test 13 -- Sturm Sequence Test of Eigenvalues * Go up by factors of two until it succeeds * NTEST = 13 TEMP1 = THRESH*( HALF-ULP ) * DO 160 J = 0, LOG2UI CALL SSTECH( N, SD, SE, D1, TEMP1, RWORK, IINFO ) IF( IINFO.EQ.0 ) $ GO TO 170 TEMP1 = TEMP1*TWO 160 CONTINUE * 170 CONTINUE RESULT( 13 ) = TEMP1 * * For positive definite matrices ( JTYPE.GT.15 ) call CPTEQR * and do tests 14, 15, and 16 . * IF( JTYPE.GT.15 ) THEN * * Compute D4 and Z4 * CALL SCOPY( N, SD, 1, D4, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 14 CALL CPTEQR( 'V', N, D4, RWORK, Z, LDU, RWORK( N+1 ), $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CPTEQR(V)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 14 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 14 and 15 * CALL CSTT21( N, 0, SD, SE, D4, DUMMA, Z, LDU, WORK, $ RWORK, RESULT( 14 ) ) * * Compute D5 * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 16 CALL CPTEQR( 'N', N, D5, RWORK, Z, LDU, RWORK( N+1 ), $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CPTEQR(N)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 16 ) = ULPINV GO TO 280 END IF END IF * * Do Test 16 * TEMP1 = ZERO TEMP2 = ZERO DO 180 J = 1, N TEMP1 = MAX( TEMP1, ABS( D4( J ) ), ABS( D5( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D4( J )-D5( J ) ) ) 180 CONTINUE * RESULT( 16 ) = TEMP2 / MAX( UNFL, $ HUN*ULP*MAX( TEMP1, TEMP2 ) ) ELSE RESULT( 14 ) = ZERO RESULT( 15 ) = ZERO RESULT( 16 ) = ZERO END IF * * Call SSTEBZ with different options and do tests 17-18. * * If S is positive definite and diagonally dominant, * ask for all eigenvalues with high relative accuracy. * VL = ZERO VU = ZERO IL = 0 IU = 0 IF( JTYPE.EQ.21 ) THEN NTEST = 17 ABSTOL = UNFL + UNFL CALL SSTEBZ( 'A', 'E', N, VL, VU, IL, IU, ABSTOL, SD, SE, $ M, NSPLIT, WR, IWORK( 1 ), IWORK( N+1 ), $ RWORK, IWORK( 2*N+1 ), IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTEBZ(A,rel)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 17 ) = ULPINV GO TO 280 END IF END IF * * Do test 17 * TEMP2 = TWO*( TWO*N-ONE )*ULP*( ONE+EIGHT*HALF**2 ) / $ ( ONE-HALF )**4 * TEMP1 = ZERO DO 190 J = 1, N TEMP1 = MAX( TEMP1, ABS( D4( J )-WR( N-J+1 ) ) / $ ( ABSTOL+ABS( D4( J ) ) ) ) 190 CONTINUE * RESULT( 17 ) = TEMP1 / TEMP2 ELSE RESULT( 17 ) = ZERO END IF * * Now ask for all eigenvalues with high absolute accuracy. * NTEST = 18 ABSTOL = UNFL + UNFL CALL SSTEBZ( 'A', 'E', N, VL, VU, IL, IU, ABSTOL, SD, SE, M, $ NSPLIT, WA1, IWORK( 1 ), IWORK( N+1 ), RWORK, $ IWORK( 2*N+1 ), IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTEBZ(A)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 18 ) = ULPINV GO TO 280 END IF END IF * * Do test 18 * TEMP1 = ZERO TEMP2 = ZERO DO 200 J = 1, N TEMP1 = MAX( TEMP1, ABS( D3( J ) ), ABS( WA1( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D3( J )-WA1( J ) ) ) 200 CONTINUE * RESULT( 18 ) = TEMP2 / MAX( UNFL, ULP*MAX( TEMP1, TEMP2 ) ) * * Choose random values for IL and IU, and ask for the * IL-th through IU-th eigenvalues. * NTEST = 19 IF( N.LE.1 ) THEN IL = 1 IU = N ELSE IL = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IU = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IF( IU.LT.IL ) THEN ITEMP = IU IU = IL IL = ITEMP END IF END IF * CALL SSTEBZ( 'I', 'E', N, VL, VU, IL, IU, ABSTOL, SD, SE, $ M2, NSPLIT, WA2, IWORK( 1 ), IWORK( N+1 ), $ RWORK, IWORK( 2*N+1 ), IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTEBZ(I)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 19 ) = ULPINV GO TO 280 END IF END IF * * Determine the values VL and VU of the IL-th and IU-th * eigenvalues and ask for all eigenvalues in this range. * IF( N.GT.0 ) THEN IF( IL.NE.1 ) THEN VL = WA1( IL ) - MAX( HALF*( WA1( IL )-WA1( IL-1 ) ), $ ULP*ANORM, TWO*RTUNFL ) ELSE VL = WA1( 1 ) - MAX( HALF*( WA1( N )-WA1( 1 ) ), $ ULP*ANORM, TWO*RTUNFL ) END IF IF( IU.NE.N ) THEN VU = WA1( IU ) + MAX( HALF*( WA1( IU+1 )-WA1( IU ) ), $ ULP*ANORM, TWO*RTUNFL ) ELSE VU = WA1( N ) + MAX( HALF*( WA1( N )-WA1( 1 ) ), $ ULP*ANORM, TWO*RTUNFL ) END IF ELSE VL = ZERO VU = ONE END IF * CALL SSTEBZ( 'V', 'E', N, VL, VU, IL, IU, ABSTOL, SD, SE, $ M3, NSPLIT, WA3, IWORK( 1 ), IWORK( N+1 ), $ RWORK, IWORK( 2*N+1 ), IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTEBZ(V)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 19 ) = ULPINV GO TO 280 END IF END IF * IF( M3.EQ.0 .AND. N.NE.0 ) THEN RESULT( 19 ) = ULPINV GO TO 280 END IF * * Do test 19 * TEMP1 = SSXT1( 1, WA2, M2, WA3, M3, ABSTOL, ULP, UNFL ) TEMP2 = SSXT1( 1, WA3, M3, WA2, M2, ABSTOL, ULP, UNFL ) IF( N.GT.0 ) THEN TEMP3 = MAX( ABS( WA1( N ) ), ABS( WA1( 1 ) ) ) ELSE TEMP3 = ZERO END IF * RESULT( 19 ) = ( TEMP1+TEMP2 ) / MAX( UNFL, TEMP3*ULP ) * * Call CSTEIN to compute eigenvectors corresponding to * eigenvalues in WA1. (First call SSTEBZ again, to make sure * it returns these eigenvalues in the correct order.) * NTEST = 21 CALL SSTEBZ( 'A', 'B', N, VL, VU, IL, IU, ABSTOL, SD, SE, M, $ NSPLIT, WA1, IWORK( 1 ), IWORK( N+1 ), RWORK, $ IWORK( 2*N+1 ), IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'SSTEBZ(A,B)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 20 ) = ULPINV RESULT( 21 ) = ULPINV GO TO 280 END IF END IF * CALL CSTEIN( N, SD, SE, M, WA1, IWORK( 1 ), IWORK( N+1 ), Z, $ LDU, RWORK, IWORK( 2*N+1 ), IWORK( 3*N+1 ), $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEIN', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 20 ) = ULPINV RESULT( 21 ) = ULPINV GO TO 280 END IF END IF * * Do tests 20 and 21 * CALL CSTT21( N, 0, SD, SE, WA1, DUMMA, Z, LDU, WORK, RWORK, $ RESULT( 20 ) ) * * Call CSTEDC(I) to compute D1 and Z, do tests. * * Compute D1 and Z * INDE = 1 INDRWK = INDE + N CALL SCOPY( N, SD, 1, D1, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK( INDE ), 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 22 CALL CSTEDC( 'I', N, D1, RWORK( INDE ), Z, LDU, WORK, LWEDC, $ RWORK( INDRWK ), LRWEDC, IWORK, LIWEDC, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEDC(I)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 22 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 22 and 23 * CALL CSTT21( N, 0, SD, SE, D1, DUMMA, Z, LDU, WORK, RWORK, $ RESULT( 22 ) ) * * Call CSTEDC(V) to compute D1 and Z, do tests. * * Compute D1 and Z * CALL SCOPY( N, SD, 1, D1, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK( INDE ), 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 24 CALL CSTEDC( 'V', N, D1, RWORK( INDE ), Z, LDU, WORK, LWEDC, $ RWORK( INDRWK ), LRWEDC, IWORK, LIWEDC, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEDC(V)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 24 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 24 and 25 * CALL CSTT21( N, 0, SD, SE, D1, DUMMA, Z, LDU, WORK, RWORK, $ RESULT( 24 ) ) * * Call CSTEDC(N) to compute D2, do tests. * * Compute D2 * CALL SCOPY( N, SD, 1, D2, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK( INDE ), 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 26 CALL CSTEDC( 'N', N, D2, RWORK( INDE ), Z, LDU, WORK, LWEDC, $ RWORK( INDRWK ), LRWEDC, IWORK, LIWEDC, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEDC(N)', IINFO, N, JTYPE, $ IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 26 ) = ULPINV GO TO 280 END IF END IF * * Do Test 26 * TEMP1 = ZERO TEMP2 = ZERO * DO 210 J = 1, N TEMP1 = MAX( TEMP1, ABS( D1( J ) ), ABS( D2( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D1( J )-D2( J ) ) ) 210 CONTINUE * RESULT( 26 ) = TEMP2 / MAX( UNFL, ULP*MAX( TEMP1, TEMP2 ) ) * * Only test CSTEMR if IEEE compliant * IF( ILAENV( 10, 'CSTEMR', 'VA', 1, 0, 0, 0 ).EQ.1 .AND. $ ILAENV( 11, 'CSTEMR', 'VA', 1, 0, 0, 0 ).EQ.1 ) THEN * * Call CSTEMR, do test 27 (relative eigenvalue accuracy) * * If S is positive definite and diagonally dominant, * ask for all eigenvalues with high relative accuracy. * VL = ZERO VU = ZERO IL = 0 IU = 0 IF( JTYPE.EQ.21 .AND. CREL ) THEN NTEST = 27 ABSTOL = UNFL + UNFL CALL CSTEMR( 'V', 'A', N, SD, SE, VL, VU, IL, IU, $ M, WR, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK, LRWORK, IWORK( 2*N+1 ), LWORK-2*N, $ IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(V,A,rel)', $ IINFO, N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 27 ) = ULPINV GO TO 270 END IF END IF * * Do test 27 * TEMP2 = TWO*( TWO*N-ONE )*ULP*( ONE+EIGHT*HALF**2 ) / $ ( ONE-HALF )**4 * TEMP1 = ZERO DO 220 J = 1, N TEMP1 = MAX( TEMP1, ABS( D4( J )-WR( N-J+1 ) ) / $ ( ABSTOL+ABS( D4( J ) ) ) ) 220 CONTINUE * RESULT( 27 ) = TEMP1 / TEMP2 * IL = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IU = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IF( IU.LT.IL ) THEN ITEMP = IU IU = IL IL = ITEMP END IF * IF( CRANGE ) THEN NTEST = 28 ABSTOL = UNFL + UNFL CALL CSTEMR( 'V', 'I', N, SD, SE, VL, VU, IL, IU, $ M, WR, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK, LRWORK, IWORK( 2*N+1 ), $ LWORK-2*N, IINFO ) * IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(V,I,rel)', $ IINFO, N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 28 ) = ULPINV GO TO 270 END IF END IF * * * Do test 28 * TEMP2 = TWO*( TWO*N-ONE )*ULP* $ ( ONE+EIGHT*HALF**2 ) / ( ONE-HALF )**4 * TEMP1 = ZERO DO 230 J = IL, IU TEMP1 = MAX( TEMP1, ABS( WR( J-IL+1 )-D4( N-J+ $ 1 ) ) / ( ABSTOL+ABS( WR( J-IL+1 ) ) ) ) 230 CONTINUE * RESULT( 28 ) = TEMP1 / TEMP2 ELSE RESULT( 28 ) = ZERO END IF ELSE RESULT( 27 ) = ZERO RESULT( 28 ) = ZERO END IF * * Call CSTEMR(V,I) to compute D1 and Z, do tests. * * Compute D1 and Z * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * IF( CRANGE ) THEN NTEST = 29 IL = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IU = 1 + ( N-1 )*INT( SLARND( 1, ISEED2 ) ) IF( IU.LT.IL ) THEN ITEMP = IU IU = IL IL = ITEMP END IF CALL CSTEMR( 'V', 'I', N, D5, RWORK, VL, VU, IL, IU, $ M, D1, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(V,I)', IINFO, $ N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 29 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 29 and 30 * * * Call CSTEMR to compute D2, do tests. * * Compute D2 * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 31 CALL CSTEMR( 'N', 'I', N, D5, RWORK, VL, VU, IL, IU, $ M, D2, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(N,I)', IINFO, $ N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 31 ) = ULPINV GO TO 280 END IF END IF * * Do Test 31 * TEMP1 = ZERO TEMP2 = ZERO * DO 240 J = 1, IU - IL + 1 TEMP1 = MAX( TEMP1, ABS( D1( J ) ), $ ABS( D2( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D1( J )-D2( J ) ) ) 240 CONTINUE * RESULT( 31 ) = TEMP2 / MAX( UNFL, $ ULP*MAX( TEMP1, TEMP2 ) ) * * * Call CSTEMR(V,V) to compute D1 and Z, do tests. * * Compute D1 and Z * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDU ) * NTEST = 32 * IF( N.GT.0 ) THEN IF( IL.NE.1 ) THEN VL = D2( IL ) - MAX( HALF* $ ( D2( IL )-D2( IL-1 ) ), ULP*ANORM, $ TWO*RTUNFL ) ELSE VL = D2( 1 ) - MAX( HALF*( D2( N )-D2( 1 ) ), $ ULP*ANORM, TWO*RTUNFL ) END IF IF( IU.NE.N ) THEN VU = D2( IU ) + MAX( HALF* $ ( D2( IU+1 )-D2( IU ) ), ULP*ANORM, $ TWO*RTUNFL ) ELSE VU = D2( N ) + MAX( HALF*( D2( N )-D2( 1 ) ), $ ULP*ANORM, TWO*RTUNFL ) END IF ELSE VL = ZERO VU = ONE END IF * CALL CSTEMR( 'V', 'V', N, D5, RWORK, VL, VU, IL, IU, $ M, D1, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(V,V)', IINFO, $ N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 32 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 32 and 33 * CALL CSTT22( N, M, 0, SD, SE, D1, DUMMA, Z, LDU, WORK, $ M, RWORK, RESULT( 32 ) ) * * Call CSTEMR to compute D2, do tests. * * Compute D2 * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 34 CALL CSTEMR( 'N', 'V', N, D5, RWORK, VL, VU, IL, IU, $ M, D2, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(N,V)', IINFO, $ N, JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 34 ) = ULPINV GO TO 280 END IF END IF * * Do Test 34 * TEMP1 = ZERO TEMP2 = ZERO * DO 250 J = 1, IU - IL + 1 TEMP1 = MAX( TEMP1, ABS( D1( J ) ), $ ABS( D2( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D1( J )-D2( J ) ) ) 250 CONTINUE * RESULT( 34 ) = TEMP2 / MAX( UNFL, $ ULP*MAX( TEMP1, TEMP2 ) ) ELSE RESULT( 29 ) = ZERO RESULT( 30 ) = ZERO RESULT( 31 ) = ZERO RESULT( 32 ) = ZERO RESULT( 33 ) = ZERO RESULT( 34 ) = ZERO END IF * * * Call CSTEMR(V,A) to compute D1 and Z, do tests. * * Compute D1 and Z * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 35 * CALL CSTEMR( 'V', 'A', N, D5, RWORK, VL, VU, IL, IU, $ M, D1, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(V,A)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 35 ) = ULPINV GO TO 280 END IF END IF * * Do Tests 35 and 36 * CALL CSTT22( N, M, 0, SD, SE, D1, DUMMA, Z, LDU, WORK, M, $ RWORK, RESULT( 35 ) ) * * Call CSTEMR to compute D2, do tests. * * Compute D2 * CALL SCOPY( N, SD, 1, D5, 1 ) IF( N.GT.0 ) $ CALL SCOPY( N-1, SE, 1, RWORK, 1 ) * NTEST = 37 CALL CSTEMR( 'N', 'A', N, D5, RWORK, VL, VU, IL, IU, $ M, D2, Z, LDU, N, IWORK( 1 ), TRYRAC, $ RWORK( N+1 ), LRWORK-N, IWORK( 2*N+1 ), $ LIWORK-2*N, IINFO ) IF( IINFO.NE.0 ) THEN WRITE( NOUNIT, FMT = 9999 )'CSTEMR(N,A)', IINFO, N, $ JTYPE, IOLDSD INFO = ABS( IINFO ) IF( IINFO.LT.0 ) THEN RETURN ELSE RESULT( 37 ) = ULPINV GO TO 280 END IF END IF * * Do Test 34 * TEMP1 = ZERO TEMP2 = ZERO * DO 260 J = 1, N TEMP1 = MAX( TEMP1, ABS( D1( J ) ), ABS( D2( J ) ) ) TEMP2 = MAX( TEMP2, ABS( D1( J )-D2( J ) ) ) 260 CONTINUE * RESULT( 37 ) = TEMP2 / MAX( UNFL, $ ULP*MAX( TEMP1, TEMP2 ) ) END IF 270 CONTINUE 280 CONTINUE NTESTT = NTESTT + NTEST * * End of Loop -- Check for RESULT(j) > THRESH * * * Print out tests which fail. * DO 290 JR = 1, NTEST IF( RESULT( JR ).GE.THRESH ) THEN * * If this is the first test to fail, * print a header to the data file. * IF( NERRS.EQ.0 ) THEN WRITE( NOUNIT, FMT = 9998 )'CST' WRITE( NOUNIT, FMT = 9997 ) WRITE( NOUNIT, FMT = 9996 ) WRITE( NOUNIT, FMT = 9995 )'Hermitian' WRITE( NOUNIT, FMT = 9994 ) * * Tests performed * WRITE( NOUNIT, FMT = 9987 ) END IF NERRS = NERRS + 1 IF( RESULT( JR ).LT.10000.0E0 ) THEN WRITE( NOUNIT, FMT = 9989 )N, JTYPE, IOLDSD, JR, $ RESULT( JR ) ELSE WRITE( NOUNIT, FMT = 9988 )N, JTYPE, IOLDSD, JR, $ RESULT( JR ) END IF END IF 290 CONTINUE 300 CONTINUE 310 CONTINUE * * Summary * CALL SLASUM( 'CST', NOUNIT, NERRS, NTESTT ) RETURN * 9999 FORMAT( ' CCHKST: ', A, ' returned INFO=', I6, '.', / 9X, 'N=', $ I6, ', JTYPE=', I6, ', ISEED=(', 3( I5, ',' ), I5, ')' ) * 9998 FORMAT( / 1X, A3, ' -- Complex Hermitian eigenvalue problem' ) 9997 FORMAT( ' Matrix types (see CCHKST for details): ' ) * 9996 FORMAT( / ' Special Matrices:', $ / ' 1=Zero matrix. ', $ ' 5=Diagonal: clustered entries.', $ / ' 2=Identity matrix. ', $ ' 6=Diagonal: large, evenly spaced.', $ / ' 3=Diagonal: evenly spaced entries. ', $ ' 7=Diagonal: small, evenly spaced.', $ / ' 4=Diagonal: geometr. spaced entries.' ) 9995 FORMAT( ' Dense ', A, ' Matrices:', $ / ' 8=Evenly spaced eigenvals. ', $ ' 12=Small, evenly spaced eigenvals.', $ / ' 9=Geometrically spaced eigenvals. ', $ ' 13=Matrix with random O(1) entries.', $ / ' 10=Clustered eigenvalues. ', $ ' 14=Matrix with large random entries.', $ / ' 11=Large, evenly spaced eigenvals. ', $ ' 15=Matrix with small random entries.' ) 9994 FORMAT( ' 16=Positive definite, evenly spaced eigenvalues', $ / ' 17=Positive definite, geometrically spaced eigenvlaues', $ / ' 18=Positive definite, clustered eigenvalues', $ / ' 19=Positive definite, small evenly spaced eigenvalues', $ / ' 20=Positive definite, large evenly spaced eigenvalues', $ / ' 21=Diagonally dominant tridiagonal, geometrically', $ ' spaced eigenvalues' ) * 9993 FORMAT( / ' Tests performed: ', $ '(S is Tridiag, D is diagonal, U and Z are ', A, ',', / 20X, $ A, ', W is a diagonal matrix of eigenvalues,', / 20X, $ ' V is U represented by Householder vectors, and', / 20X, $ ' Y is a matrix of eigenvectors of S.)', $ / ' CHETRD, UPLO=''U'':', / ' 1= | A - V S V', A1, $ ' | / ( |A| n ulp ) ', ' 2= | I - U V', A1, $ ' | / ( n ulp )', / ' CHETRD, UPLO=''L'':', $ / ' 3= | A - V S V', A1, ' | / ( |A| n ulp ) ', $ ' 4= | I - U V', A1, ' | / ( n ulp )' ) 9992 FORMAT( ' CHPTRD, UPLO=''U'':', / ' 5= | A - V S V', A1, $ ' | / ( |A| n ulp ) ', ' 6= | I - U V', A1, $ ' | / ( n ulp )', / ' CHPTRD, UPLO=''L'':', $ / ' 7= | A - V S V', A1, ' | / ( |A| n ulp ) ', $ ' 8= | I - U V', A1, ' | / ( n ulp )', $ / ' 9= | S - Z D Z', A1, ' | / ( |S| n ulp ) ', $ ' 10= | I - Z Z', A1, ' | / ( n ulp )', $ / ' 11= |D(with Z) - D(w/o Z)| / (|D| ulp) ', $ ' 12= | D(PWK) - D(QR) | / (|D| ulp)', $ / ' 13= Sturm sequence test on W ' ) 9991 FORMAT( ' 14= | S - Z4 D4 Z4', A1, ' | / (|S| n ulp)', $ / ' 15= | I - Z4 Z4', A1, ' | / (n ulp ) ', $ ' 16= | D4 - D5 | / ( 100 |D4| ulp ) ', $ / ' 17= max | D4(i) - WR(i) | / ( |D4(i)| (2n-1) ulp )', $ / ' 18= | WA1 - D3 | / ( |D3| ulp )', $ / ' 19= max | WA2(i) - WA3(ii) | / ( |D3| ulp )', $ / ' 20= | S - Y WA1 Y', A1, ' | / ( |S| n ulp )', $ / ' 21= | I - Y Y', A1, ' | / ( n ulp )' ) 9990 FORMAT( ' 22= | S - Z D Z', A1, $ ' | / ( |S| n ulp ) for CSTEDC(I)', / ' 23= | I - Z Z', A1, $ ' | / ( n ulp ) for CSTEDC(I)', / ' 24= | S - Z D Z', $ A1, ' | / ( |S| n ulp ) for CSTEDC(V)', / ' 25= | I - Z Z', $ A1, ' | / ( n ulp ) for CSTEDC(V)', $ / ' 26= | D1(CSTEDC(V)) - D2(CSTEDC(N)) | / ( |D1| ulp )' ) 9989 FORMAT( ' Matrix order=', I5, ', type=', I2, ', seed=', $ 4( I4, ',' ), ' result ', I3, ' is', 0P, F8.2 ) 9988 FORMAT( ' Matrix order=', I5, ', type=', I2, ', seed=', $ 4( I4, ',' ), ' result ', I3, ' is', 1P, E10.3 ) * 9987 FORMAT( / 'Test performed: see CCHKST for details.', / ) * End of CCHKST * END