SRC/dlagts.f(3)

💖 NAME

SRC/dlagts.f — yes bestie, that’s the file, and this whole page comes from the Library Functions Manual. It’s giving “tridiagonal solver with main character energy.” ✨

🌸 SYNOPSIS

🫶 Functions/Subroutines

• subroutine dlagts (job, n, a, b, c, d, in, y, tol, info) — DLAGTS solves the system of equations (T-λI)x = y or (T-λI)^Tx = y, where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.

🦋 Function/Subroutine Documentation

okay so here’s the exact signature, no cap:

subroutine dlagts (integer job, integer n, double precision, dimension( * )
a, double precision, dimension( * ) b, double precision, dimension( * )
c, double precision, dimension( * ) d, integer, dimension( * ) in,
double precision, dimension( * ) y, double precision tol, integer info)

DLAGTS solves the system of equations (T-λI)x = y or (T-λI)^Tx = y, where T is a general tridiagonal matrix and λ a scalar, using the LU factorization computed by slagtf.

💅 Purpose

bestie, here’s the tea: DLAGTS may be used to solve one of the systems of equations

(T - lambda*I)*x = y   or   (T - lambda*I)**T*x = y,

where T is an n by n tridiagonal matrix, for x, following the factorization of (T - lambda*I) as

(T - lambda*I) = P*L*U ,

by routine DLAGTF. The choice of equation to be solved is controlled by the argument JOB, and in each case there is an option to perturb zero or very small diagonal elements of U, this option being intended for use in applications such as inverse iteration. 💫

🎀 Parameters

• JOB — JOB is INTEGER. Specifies the job to be performed by DLAGTS as follows:
  • = 1: The equations (T - lambda*I)x = y are to be solved, but diagonal elements of U are not to be perturbed.
  • = -1: The equations (T - lambda*I)x = y are to be solved and, if overflow would otherwise occur, the diagonal elements of U are to be perturbed. See argument TOL below.
  • = 2: The equations (T - lambda*I)**Tx = y are to be solved, but diagonal elements of U are not to be perturbed.
  • = -2: The equations (T - lambda*I)**Tx = y are to be solved and, if overflow would otherwise occur, the diagonal elements of U are to be perturbed. See argument TOL below.
• N — N is INTEGER. The order of the matrix T.
• A — A is DOUBLE PRECISION array, dimension (N). On entry, A must contain the diagonal elements of U as returned from DLAGTF.
• B — B is DOUBLE PRECISION array, dimension (N-1). On entry, B must contain the first super-diagonal elements of U as returned from DLAGTF.
• C — C is DOUBLE PRECISION array, dimension (N-1). On entry, C must contain the sub-diagonal elements of L as returned from DLAGTF.
• D — D is DOUBLE PRECISION array, dimension (N-2). On entry, D must contain the second super-diagonal elements of U as returned from DLAGTF.
• IN — IN is INTEGER array, dimension (N). On entry, IN must contain details of the matrix P as returned from DLAGTF.
• Y — Y is DOUBLE PRECISION array, dimension (N). On entry, the right hand side vector y. On exit, Y is overwritten by the solution vector x. ✨
• TOL — TOL is DOUBLE PRECISION. On entry, with JOB < 0, TOL should be the minimum perturbation to be made to very small diagonal elements of U. TOL should normally be chosen as about eps*norm(U), where eps is the relative machine precision, but if TOL is supplied as non-positive, then it is reset to eps*max( abs( u(i,j) ) ). If JOB > 0 then TOL is not referenced.

On exit, TOL is changed as described above, only if TOL is non-positive on entry. Otherwise TOL is unchanged.

• INFO — INFO is INTEGER.
  • = 0: successful exit
  • < 0: if INFO = -i, the i-th argument had an illegal value
  • > 0: overflow would occur when computing the INFO(th) element of the solution vector x. This can only occur when JOB is supplied as positive and either means that a diagonal element of U is very small, or that the elements of the right-hand side vector y are very large. 😭

🌈 Author

• Univ. of Tennessee
• Univ. of California Berkeley
• Univ. of Colorado Denver
• NAG Ltd.

📌 Definition at line 162 of file dlagts.f.

👑 Author

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