 LAPACK  3.6.1 LAPACK: Linear Algebra PACKage
 subroutine sget10 ( integer M, integer N, real, dimension( lda, * ) A, integer LDA, real, dimension( ldb, * ) B, integer LDB, real, dimension( * ) WORK, real RESULT )

SGET10

Purpose:
``` SGET10 compares two matrices A and B and computes the ratio
RESULT = norm( A - B ) / ( norm(A) * M * EPS )```
Parameters
 [in] M ``` M is INTEGER The number of rows of the matrices A and B.``` [in] N ``` N is INTEGER The number of columns of the matrices A and B.``` [in] A ``` A is REAL array, dimension (LDA,N) The m by n matrix A.``` [in] LDA ``` LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).``` [in] B ``` B is REAL array, dimension (LDB,N) The m by n matrix B.``` [in] LDB ``` LDB is INTEGER The leading dimension of the array B. LDB >= max(1,M).``` [out] WORK ` WORK is REAL array, dimension (M)` [out] RESULT ``` RESULT is REAL RESULT = norm( A - B ) / ( norm(A) * M * EPS )```
Date
November 2011

Definition at line 95 of file sget10.f.

95 *
96 * -- LAPACK test routine (version 3.4.0) --
97 * -- LAPACK is a software package provided by Univ. of Tennessee, --
98 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
99 * November 2011
100 *
101 * .. Scalar Arguments ..
102  INTEGER lda, ldb, m, n
103  REAL result
104 * ..
105 * .. Array Arguments ..
106  REAL a( lda, * ), b( ldb, * ), work( * )
107 * ..
108 *
109 * =====================================================================
110 *
111 * .. Parameters ..
112  REAL one, zero
113  parameter ( one = 1.0e+0, zero = 0.0e+0 )
114 * ..
115 * .. Local Scalars ..
116  INTEGER j
117  REAL anorm, eps, unfl, wnorm
118 * ..
119 * .. External Functions ..
120  REAL sasum, slamch, slange
121  EXTERNAL sasum, slamch, slange
122 * ..
123 * .. External Subroutines ..
124  EXTERNAL saxpy, scopy
125 * ..
126 * .. Intrinsic Functions ..
127  INTRINSIC max, min, real
128 * ..
129 * .. Executable Statements ..
130 *
131 * Quick return if possible
132 *
133  IF( m.LE.0 .OR. n.LE.0 ) THEN
134  result = zero
135  RETURN
136  END IF
137 *
138  unfl = slamch( 'Safe minimum' )
139  eps = slamch( 'Precision' )
140 *
141  wnorm = zero
142  DO 10 j = 1, n
143  CALL scopy( m, a( 1, j ), 1, work, 1 )
144  CALL saxpy( m, -one, b( 1, j ), 1, work, 1 )
145  wnorm = max( wnorm, sasum( n, work, 1 ) )
146  10 CONTINUE
147 *
148  anorm = max( slange( '1', m, n, a, lda, work ), unfl )
149 *
150  IF( anorm.GT.wnorm ) THEN
151  result = ( wnorm / anorm ) / ( m*eps )
152  ELSE
153  IF( anorm.LT.one ) THEN
154  result = ( min( wnorm, m*anorm ) / anorm ) / ( m*eps )
155  ELSE
156  result = min( wnorm / anorm, REAL( M ) ) / ( m*eps )
157  END IF
158  END IF
159 *
160  RETURN
161 *
162 * End of SGET10
163 *
real function slange(NORM, M, N, A, LDA, WORK)
SLANGE returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value ...
Definition: slange.f:116
real function sasum(N, SX, INCX)
SASUM
Definition: sasum.f:54
subroutine saxpy(N, SA, SX, INCX, SY, INCY)
SAXPY
Definition: saxpy.f:54
real function slamch(CMACH)
SLAMCH
Definition: slamch.f:69
subroutine scopy(N, SX, INCX, SY, INCY)
SCOPY
Definition: scopy.f:53

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