/* spotf2.f -- translated by f2c (version 20061008). You must link the resulting object file with libf2c: on Microsoft Windows system, link with libf2c.lib; on Linux or Unix systems, link with .../path/to/libf2c.a -lm or, if you install libf2c.a in a standard place, with -lf2c -lm -- in that order, at the end of the command line, as in cc *.o -lf2c -lm Source for libf2c is in /netlib/f2c/libf2c.zip, e.g., http://www.netlib.org/f2c/libf2c.zip */ #include "clapack.h" /* Table of constant values */ static integer c__1 = 1; static real c_b10 = -1.f; static real c_b12 = 1.f; /* Subroutine */ int spotf2_(char *uplo, integer *n, real *a, integer *lda, integer *info) { /* System generated locals */ integer a_dim1, a_offset, i__1, i__2, i__3; real r__1; /* Builtin functions */ double sqrt(doublereal); /* Local variables */ integer j; real ajj; extern doublereal sdot_(integer *, real *, integer *, real *, integer *); extern logical lsame_(char *, char *); extern /* Subroutine */ int sscal_(integer *, real *, real *, integer *), sgemv_(char *, integer *, integer *, real *, real *, integer *, real *, integer *, real *, real *, integer *); logical upper; extern /* Subroutine */ int xerbla_(char *, integer *); extern logical sisnan_(real *); /* -- LAPACK routine (version 3.2) -- */ /* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */ /* November 2006 */ /* .. Scalar Arguments .. */ /* .. */ /* .. Array Arguments .. */ /* .. */ /* Purpose */ /* ======= */ /* SPOTF2 computes the Cholesky factorization of a real symmetric */ /* positive definite matrix A. */ /* The factorization has the form */ /* A = U' * U , if UPLO = 'U', or */ /* A = L * L', if UPLO = 'L', */ /* where U is an upper triangular matrix and L is lower triangular. */ /* This is the unblocked version of the algorithm, calling Level 2 BLAS. */ /* Arguments */ /* ========= */ /* UPLO (input) CHARACTER*1 */ /* Specifies whether the upper or lower triangular part of the */ /* symmetric matrix A is stored. */ /* = 'U': Upper triangular */ /* = 'L': Lower triangular */ /* N (input) INTEGER */ /* The order of the matrix A. N >= 0. */ /* A (input/output) REAL array, dimension (LDA,N) */ /* On entry, the symmetric matrix A. If UPLO = 'U', the leading */ /* n by n upper triangular part of A contains the upper */ /* triangular part of the matrix A, and the strictly lower */ /* triangular part of A is not referenced. If UPLO = 'L', the */ /* leading n by n lower triangular part of A contains the lower */ /* triangular part of the matrix A, and the strictly upper */ /* triangular part of A is not referenced. */ /* On exit, if INFO = 0, the factor U or L from the Cholesky */ /* factorization A = U'*U or A = L*L'. */ /* LDA (input) INTEGER */ /* The leading dimension of the array A. LDA >= max(1,N). */ /* INFO (output) INTEGER */ /* = 0: successful exit */ /* < 0: if INFO = -k, the k-th argument had an illegal value */ /* > 0: if INFO = k, the leading minor of order k is not */ /* positive definite, and the factorization could not be */ /* completed. */ /* ===================================================================== */ /* .. Parameters .. */ /* .. */ /* .. Local Scalars .. */ /* .. */ /* .. External Functions .. */ /* .. */ /* .. External Subroutines .. */ /* .. */ /* .. Intrinsic Functions .. */ /* .. */ /* .. Executable Statements .. */ /* Test the input parameters. */ /* Parameter adjustments */ a_dim1 = *lda; a_offset = 1 + a_dim1; a -= a_offset; /* Function Body */ *info = 0; upper = lsame_(uplo, "U"); if (! upper && ! lsame_(uplo, "L")) { *info = -1; } else if (*n < 0) { *info = -2; } else if (*lda < max(1,*n)) { *info = -4; } if (*info != 0) { i__1 = -(*info); xerbla_("SPOTF2", &i__1); return 0; } /* Quick return if possible */ if (*n == 0) { return 0; } if (upper) { /* Compute the Cholesky factorization A = U'*U. */ i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Compute U(J,J) and test for non-positive-definiteness. */ i__2 = j - 1; ajj = a[j + j * a_dim1] - sdot_(&i__2, &a[j * a_dim1 + 1], &c__1, &a[j * a_dim1 + 1], &c__1); if (ajj <= 0.f || sisnan_(&ajj)) { a[j + j * a_dim1] = ajj; goto L30; } ajj = sqrt(ajj); a[j + j * a_dim1] = ajj; /* Compute elements J+1:N of row J. */ if (j < *n) { i__2 = j - 1; i__3 = *n - j; sgemv_("Transpose", &i__2, &i__3, &c_b10, &a[(j + 1) * a_dim1 + 1], lda, &a[j * a_dim1 + 1], &c__1, &c_b12, &a[j + ( j + 1) * a_dim1], lda); i__2 = *n - j; r__1 = 1.f / ajj; sscal_(&i__2, &r__1, &a[j + (j + 1) * a_dim1], lda); } /* L10: */ } } else { /* Compute the Cholesky factorization A = L*L'. */ i__1 = *n; for (j = 1; j <= i__1; ++j) { /* Compute L(J,J) and test for non-positive-definiteness. */ i__2 = j - 1; ajj = a[j + j * a_dim1] - sdot_(&i__2, &a[j + a_dim1], lda, &a[j + a_dim1], lda); if (ajj <= 0.f || sisnan_(&ajj)) { a[j + j * a_dim1] = ajj; goto L30; } ajj = sqrt(ajj); a[j + j * a_dim1] = ajj; /* Compute elements J+1:N of column J. */ if (j < *n) { i__2 = *n - j; i__3 = j - 1; sgemv_("No transpose", &i__2, &i__3, &c_b10, &a[j + 1 + a_dim1], lda, &a[j + a_dim1], lda, &c_b12, &a[j + 1 + j * a_dim1], &c__1); i__2 = *n - j; r__1 = 1.f / ajj; sscal_(&i__2, &r__1, &a[j + 1 + j * a_dim1], &c__1); } /* L20: */ } } goto L40; L30: *info = j; L40: return 0; /* End of SPOTF2 */ } /* spotf2_ */