TESTING/LIN/dchkrq.f(3)

💖 NAME 💖

TESTING/LIN/dchkrq.f — that's the name, bestie, and this whole page is living in the Library Functions Manual. It's giving official LAPACK manual-page energy for dchkrq, and we're keeping every crumb. 💅

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✨ SYNOPSIS ✨

🧚 Functions/Subroutines 🧚

subroutine dchkrq (dotype, nm, mval, nn, nval, nnb, nbval, nxval, nrhs,
     thresh, tsterr, nmax, a, af, aq, ar, ac, b, x, xact, tau, work,
     rwork, iwork, nout)
     DCHKRQ

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🌸 Function/Subroutine Documentation 🌸

🎀 subroutine dchkrq 🎀

subroutine dchkrq (logical, dimension( * ) dotype, integer nm, integer,
     dimension( * ) mval, integer nn, integer, dimension( * ) nval, integer
     nnb, integer, dimension( * ) nbval, integer, dimension( * ) nxval,
     integer nrhs, double precision thresh, logical tsterr, integer nmax,
     double precision, dimension( * ) a, double precision, dimension( * ) af,
     double precision, dimension( * ) aq, double precision, dimension( * )
     ar, double precision, dimension( * ) ac, double precision, dimension( *
     ) b, double precision, dimension( * ) x, double precision, dimension( *
     ) xact, double precision, dimension( * ) tau, double precision,
     dimension( * ) work, double precision, dimension( * ) rwork, integer,
     dimension( * ) iwork, integer nout)
     DCHKRQ

Purpose

Okay so the source literally says: DCHKRQ tests DGERQF, DORGRQ and DORMRQ. That's the whole assignment, and it ate. 🔥

Parameters

• DOTYPE — DOTYPE is LOGICAL array, dimension (NTYPES). It's the matrix types to be used for testing. Matrices of type j (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) = .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used. Periodt.
• NM — NM is INTEGER. It's the number of values of M contained in the vector MVAL.
• MVAL — MVAL is INTEGER array, dimension (NM). These are the values of the matrix row dimension M.
• NN — NN is INTEGER. It's the number of values of N contained in the vector NVAL.
• NVAL — NVAL is INTEGER array, dimension (NN). These are the values of the matrix column dimension N.
• NNB — NNB is INTEGER. It's the number of values of NB and NX contained in the vectors NBVAL and NXVAL. The blocking parameters are used in pairs (NB,NX).
• NBVAL — NBVAL is INTEGER array, dimension (NNB). These are the values of the blocksize NB.
• NXVAL — NXVAL is INTEGER array, dimension (NNB). These are the values of the crossover point NX.
• NRHS — NRHS is INTEGER. It's the number of right hand side vectors to be generated for each linear system.
• THRESH — THRESH is DOUBLE PRECISION. It's the threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0.
• TSTERR — TSTERR is LOGICAL. It's a flag that indicates whether error exits are to be tested.
• NMAX — NMAX is INTEGER. It's the maximum value permitted for M or N, used in dimensioning the work arrays.
• A — A is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• AF — AF is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• AQ — AQ is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• AR — AR is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• AC — AC is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• B — B is DOUBLE PRECISION array, dimension (NMAX*NRHS).
• X — X is DOUBLE PRECISION array, dimension (NMAX*NRHS).
• XACT — XACT is DOUBLE PRECISION array, dimension (NMAX*NRHS).
• TAU — TAU is DOUBLE PRECISION array, dimension (NMAX).
• WORK — WORK is DOUBLE PRECISION array, dimension (NMAX*NMAX).
• RWORK — RWORK is DOUBLE PRECISION array, dimension (NMAX).
• IWORK — IWORK is INTEGER array, dimension (NMAX).
• NOUT — NOUT is INTEGER. It's the unit number for output.

🫶 Author 🫶

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

Definition at line 198 of file dchkrq.f.

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💜 Author 💜

Generated automatically by Doxygen for LAPACK from the source code.

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💌 okay bestie, that's the whole manual-page tea: this footer stamp is LAPACK Version 3.12.0, source TESTING/LIN/dchkrq.f(3) — signed, sealed, and delivered with zero missing details. mwah 💋✨