slagtf.c
来自「NIST Handwriting OCR Testbed」· C语言 代码 · 共 218 行
C
218 行
/** ======================================================================* NIST Guide to Available Math Software.* Fullsource for module SSYEVX.C from package CLAPACK.* Retrieved from NETLIB on Fri Mar 10 14:23:44 2000.* ======================================================================*/#include <f2c.h>/* Subroutine */ int slagtf_(integer *n, real *a, real *lambda, real *b, real *c, real *tol, real *d, integer *in, integer *info){/* -- LAPACK routine (version 2.0) -- Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd., Courant Institute, Argonne National Lab, and Rice University October 31, 1992 Purpose ======= SLAGTF factorizes the matrix (T - lambda*I), where T is an n by n tridiagonal matrix and lambda is a scalar, as T - lambda*I = PLU, where P is a permutation matrix, L is a unit lower tridiagonal matrix with at most one non-zero sub-diagonal elements per column and U is an upper triangular matrix with at most two non-zero super-diagonal elements per column. The factorization is obtained by Gaussian elimination with partial pivoting and implicit row scaling. The parameter LAMBDA is included in the routine so that SLAGTF may be used, in conjunction with SLAGTS, to obtain eigenvectors of T by inverse iteration. Arguments ========= N (input) INTEGER The order of the matrix T. A (input/output) REAL array, dimension (N) On entry, A must contain the diagonal elements of T. On exit, A is overwritten by the n diagonal elements of the upper triangular matrix U of the factorization of T. LAMBDA (input) REAL On entry, the scalar lambda. B (input/output) REAL array, dimension (N-1) On entry, B must contain the (n-1) super-diagonal elements of T. On exit, B is overwritten by the (n-1) super-diagonal elements of the matrix U of the factorization of T. C (input/output) REAL array, dimension (N-1) On entry, C must contain the (n-1) sub-diagonal elements of T. On exit, C is overwritten by the (n-1) sub-diagonal elements of the matrix L of the factorization of T. TOL (input) REAL On entry, a relative tolerance used to indicate whether or not the matrix (T - lambda*I) is nearly singular. TOL should normally be chose as approximately the largest relative error in the elements of T. For example, if the elements of T are correct to about 4 significant figures, then TOL should be set to about 5*10**(-4). If TOL is supplied as less than eps, where eps is the relative machine precision, then the value eps is used in place of TOL. D (output) REAL array, dimension (N-2) On exit, D is overwritten by the (n-2) second super-diagonal elements of the matrix U of the factorization of T. IN (output) INTEGER array, dimension (N) On exit, IN contains details of the permutation matrix P. If an interchange occurred at the kth step of the elimination, then IN(k) = 1, otherwise IN(k) = 0. The element IN(n) returns the smallest positive integer j such that abs( u(j,j) ).le. norm( (T - lambda*I)(j) )*TOL, where norm( A(j) ) denotes the sum of the absolute values of the jth row of the matrix A. If no such j exists then IN(n) is returned as zero. If IN(n) is returned as positive, then a diagonal element of U is small, indicating that (T - lambda*I) is singular or nearly singular, INFO (output) = 0 : successful exit .lt. 0: if INFO = -k, the kth argument had an illegal value ===================================================================== Parameter adjustments Function Body */ /* System generated locals */ integer i__1; real r__1, r__2; /* Local variables */ static real temp, mult; static integer k; static real scale1, scale2, tl; extern doublereal slamch_(char *); extern /* Subroutine */ int xerbla_(char *, integer *); static real eps, piv1, piv2;#define IN(I) in[(I)-1]#define D(I) d[(I)-1]#define C(I) c[(I)-1]#define B(I) b[(I)-1]#define A(I) a[(I)-1] *info = 0; if (*n < 0) { *info = -1; i__1 = -(*info); xerbla_("SLAGTF", &i__1); return 0; } if (*n == 0) { return 0; } A(1) -= *lambda; IN(*n) = 0; if (*n == 1) { if (A(1) == 0.f) { IN(1) = 1; } return 0; } eps = slamch_("Epsilon"); tl = dmax(*tol,eps); scale1 = dabs(A(1)) + dabs(B(1)); i__1 = *n - 1; for (k = 1; k <= *n-1; ++k) { A(k + 1) -= *lambda; scale2 = (r__1 = C(k), dabs(r__1)) + (r__2 = A(k + 1), dabs(r__2)); if (k < *n - 1) { scale2 += (r__1 = B(k + 1), dabs(r__1)); } if (A(k) == 0.f) { piv1 = 0.f; } else { piv1 = (r__1 = A(k), dabs(r__1)) / scale1; } if (C(k) == 0.f) { IN(k) = 0; piv2 = 0.f; scale1 = scale2; if (k < *n - 1) { D(k) = 0.f; } } else { piv2 = (r__1 = C(k), dabs(r__1)) / scale2; if (piv2 <= piv1) { IN(k) = 0; scale1 = scale2; C(k) /= A(k); A(k + 1) -= C(k) * B(k); if (k < *n - 1) { D(k) = 0.f; } } else { IN(k) = 1; mult = A(k) / C(k); A(k) = C(k); temp = A(k + 1); A(k + 1) = B(k) - mult * temp; if (k < *n - 1) { D(k) = B(k + 1); B(k + 1) = -(doublereal)mult * D(k); } B(k) = temp; C(k) = mult; } } if (dmax(piv1,piv2) <= tl && IN(*n) == 0) { IN(*n) = k; }/* L10: */ } if ((r__1 = A(*n), dabs(r__1)) <= scale1 * tl && IN(*n) == 0) { IN(*n) = *n; } return 0;/* End of SLAGTF */} /* slagtf_ */
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