TESTING/LIN/dlaptm.f(3)
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πΈ NAME πΈ
TESTING/LIN/dlaptm.f β that's the file, and this whole page is its moment π
β¨ SYNOPSIS β¨
π«Ά Functions/Subroutines π«Ά
subroutine dlaptm (n, nrhs, alpha, d, e, x, ldx, beta, b, ldb)βDLAPTM(yes bestie, that's the whole vibe) π«
π FUNCTION/SUBROUTINE DOCUMENTATION π
subroutine dlaptm (integer n, integer nrhs, double precision alpha, double
precision, dimension( * ) d, double precision, dimension( * ) e, double
precision, dimension( ldx, * ) x, integer ldx, double precision beta,
double precision, dimension( ldb, * ) b, integer ldb)
DLAPTM β iconic name, no notes π
π¦ Purpose π¦
okay so listen: DLAPTM multiplies an N by NRHS matrix X by a symmetric tridiagonal matrix A, and stores the result in a matrix B. The operation has the form:
B := alpha * A * X + beta * B
where alpha may be either 1. or -1., and beta may be 0., 1., or -1. π₯
π Parameters π
NβN is INTEGER; this is the order of the matrixA. Constraint:N >= 0β¨NRHSβNRHS is INTEGER; the number of right hand sides, i.e., the number of columns of the matricesXandBπALPHAβALPHA is DOUBLE PRECISION; the scalar alpha.ALPHAmust be1.or-1.; otherwise, it is assumed to be0.π«ΆDβD is DOUBLE PRECISION array, dimension (N); thendiagonal elements of the tridiagonal matrixAπΈEβE is DOUBLE PRECISION array, dimension (N-1); the(n-1)subdiagonal or superdiagonal elements ofAπ¦XβX is DOUBLE PRECISION array, dimension (LDX,NRHS); theNbyNRHSmatrixXπLDXβLDX is INTEGER; the leading dimension of the arrayX. Constraint:LDX >= max(N,1)βBETAβBETA is DOUBLE PRECISION; the scalar beta.BETAmust be0.,1., or-1.; otherwise, it is assumed to be1.π₯BβB is DOUBLE PRECISION array, dimension (LDB,NRHS); on entry, theNbyNRHSmatrixB. On exit,Bis overwritten by the matrix expressionB := alpha * A * X + beta * BπLDBβLDB is INTEGER; the leading dimension of the arrayB. Constraint:LDB >= max(N,1)π
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 115 of file dlaptm.f. π«
π AUTHOR π
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