DLASD1(3)

💅 DLASD1(3) — Library Functions Manual 💅

Hey bestie, welcome to the Library Functions Manual page for DLASD1(3). The file it lives in is /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dlasd1.f, and the abbreviated header/footer form is /home/abui...RC/dlasd1.f(3). No cap, this is the whole page.

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✨ NAME ✨

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dlasd1.f

That’s the file, bestie — this page is for <cyan>DLASD1</cyan> in the Library Functions Manual. The shorthand path in the header/footer vibe is /home/abui...RC/dlasd1.f(3).

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🌸 SYNOPSIS 🌸

🎀 Functions/Subroutines 🎀

subroutine DLASD1 (nl, nr, sqre, d, alpha, beta, u, ldu, vt, ldvt, idxq,
           iwork, work, info)

DLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.

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🦋 Function/Subroutine Documentation 🦋

subroutine DLASD1 (integer nl, integer nr, integer sqre, double precision,
     dimension( * ) d, double precision alpha, double precision beta, double
     precision, dimension( ldu, * ) u, integer ldu, double precision,
     dimension( ldvt, * ) vt, integer ldvt, integer, dimension( * ) idxq,
     integer, dimension( * ) iwork, double precision, dimension( * ) work,
     integer info)

DLASD1 computes the SVD of an upper bidiagonal matrix B of the specified size. Used by sbdsdc.

💖 Purpose 💖

Okay so the tea is: DLASD1 computes the SVD of an upper bidiagonal N-by-M matrix B, where N = NL + NR + 1 and M = N + SQRE. DLASD1 is called from DLASD0.

A related subroutine DLASD7 handles the case in which the singular values (and the singular vectors in factored form) are desired.

DLASD1 computes the SVD as follows:

               ( D1(in)    0    0       0 )
   B = U(in) * (   Z1**T   a   Z2**T    b ) * VT(in)
               (   0       0   D2(in)   0 )

     = U(out) * ( D(out) 0) * VT(out)

where Z**T = (Z1**T a Z2**T b) = u**T VT**T, and u is a vector of dimension M with ALPHA and BETA in the NL+1 and NL+2 th entries and zeros elsewhere; and the entry b is empty if SQRE = 0.

The left singular vectors of the original matrix are stored in U, and the transpose of the right singular vectors are stored in VT, and the singular values are in D. The algorithm consists of three stages:

1. The first stage consists of deflating the size of the problem when there are multiple singular values or when there are zeros in the Z vector. For each such occurrence the dimension of the secular equation problem is reduced by one. This stage is performed by the routine DLASD2.
2. The second stage consists of calculating the updated singular values. This is done by finding the square roots of the roots of the secular equation via the routine DLASD4 (as called by DLASD3). This routine also calculates the singular vectors of the current problem.
3. The final stage consists of computing the updated singular vectors directly using the updated singular values. The singular vectors for the current problem are multiplied with the singular vectors from the overall problem.

🎀 Parameters 🎀

🔹 NL

NL is INTEGER. The row dimension of the upper block. NL >= 1.

🔹 NR

NR is INTEGER. The row dimension of the lower block. NR >= 1.

🔹 SQRE

SQRE is INTEGER.

• = 0: the lower block is an NR-by-NR square matrix.
• = 1: the lower block is an NR-by-(NR+1) rectangular matrix.

The bidiagonal matrix has row dimension N = NL + NR + 1, and column dimension M = N + SQRE.

🔹 D

D is DOUBLE PRECISION array, dimension (N = NL+NR+1). On entry D(1:NL,1:NL) contains the singular values of the upper block; and D(NL+2:N) contains the singular values of the lower block. On exit D(1:N) contains the singular values of the modified matrix.

🔹 ALPHA

ALPHA is DOUBLE PRECISION. Contains the diagonal element associated with the added row.

🔹 BETA

BETA is DOUBLE PRECISION. Contains the off-diagonal element associated with the added row.

🔹 U

U is DOUBLE PRECISION array, dimension(LDU,N). On entry U(1:NL, 1:NL) contains the left singular vectors of the upper block; U(NL+2:N, NL+2:N) contains the left singular vectors of the lower block. On exit U contains the left singular vectors of the bidiagonal matrix.

🔹 LDU

LDU is INTEGER. The leading dimension of the array U. LDU >= max( 1, N ).

🔹 VT

VT is DOUBLE PRECISION array, dimension(LDVT,M) where M = N + SQRE. On entry VT(1:NL+1, 1:NL+1)**T contains the right singular vectors of the upper block; VT(NL+2:M, NL+2:M)**T contains the right singular vectors of the lower block. On exit VT**T contains the right singular vectors of the bidiagonal matrix.

🔹 LDVT

LDVT is INTEGER. The leading dimension of the array VT. LDVT >= max( 1, M ).

🔹 IDXQ

IDXQ is INTEGER array, dimension(N). This contains the permutation which will reintegrate the subproblem just solved back into sorted order, i.e. D( IDXQ( I = 1, N ) ) will be in ascending order.

🔹 IWORK

IWORK is INTEGER array, dimension( 4 * N ).

🔹 WORK

WORK is DOUBLE PRECISION array, dimension( 3*M**2 + 2*M ).

🔹 INFO

INFO is INTEGER.

• = 0: successful exit.
• < 0: if INFO = -i, the i-th argument had an illegal value.
• > 0: if INFO = 1, a singular value did not converge

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👑 Author 👑

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

🌈 Contributors 🌈

Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 202 of file dlasd1.f.

💜 Author 💜

Generated automatically by Doxygen for LAPACK from the source code.

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Okay bestie, that’s the whole vibe check 💅✨. This page came from LAPACK Version 3.12.0, with the path shorthand /home/abui...RC/dlasd1.f(3) — and yes, the full NAME path is up top. Stay iconic, and may your singular values always converge 🎀🦋🌸💖🫶