---
name: "dgesvd.f"
section: "3"
platform: "linux"
package: "lapack-doc"
version: "3.12.1-2"
release: "Arch Linux 2026-11-01"
platforms: ["linux"]
url: "https://new.carta.tech/dgesvd.f"
---

# dgesvd.f(3)

## NAME

SRC/dgesvd.f

## SYNOPSIS

### Functions/Subroutines

subroutine **dgesvd** (jobu, jobvt, m, n, a, lda, s, u, ldu, vt, ldvt, work, lwork, info)\
  **DGESVD computes the singular value decomposition (SVD) for GE matrices**

## Function/Subroutine Documentation

### subroutine dgesvd (character jobu, character jobvt, integer m, integer n, double precision, dimension( lda, \* ) a, integer lda, double precision, dimension( \* ) s, double precision, dimension( ldu, \* ) u, integer ldu, double precision, dimension( ldvt, \* ) vt, integer ldvt, double precision, dimension( \* ) work, integer lwork, integer info)

 **DGESVD computes the singular value decomposition (SVD) for GE matrices**

**Purpose:**

```
!>
!> DGESVD computes the singular value decomposition (SVD) of a real
!> M-by-N matrix A, optionally computing the left and/or right singular
!> vectors. The SVD is written
!>
!>      A = U * SIGMA * transpose(V)
!>
!> where SIGMA is an M-by-N matrix which is zero except for its
!> min(m,n) diagonal elements, U is an M-by-M orthogonal matrix, and
!> V is an N-by-N orthogonal matrix.  The diagonal elements of SIGMA
!> are the singular values of A; they are real and non-negative, and
!> are returned in descending order.  The first min(m,n) columns of
!> U and V are the left and right singular vectors of A.
!>
!> Note that the routine returns V**T, not V.
!>
```

**Parameters**

*JOBU*

```
!>          JOBU is CHARACTER*1
!>          Specifies options for computing all or part of the matrix U:
!>          = 'A':  all M columns of U are returned in array U:
!>          = 'S':  the first min(m,n) columns of U (the left singular
!>                  vectors) are returned in the array U;
!>          = 'O':  the first min(m,n) columns of U (the left singular
!>                  vectors) are overwritten on the array A;
!>          = 'N':  no columns of U (no left singular vectors) are
!>                  computed.
!>
```

*JOBVT*

```
!>          JOBVT is CHARACTER*1
!>          Specifies options for computing all or part of the matrix
!>          V**T:
!>          = 'A':  all N rows of V**T are returned in the array VT;
!>          = 'S':  the first min(m,n) rows of V**T (the right singular
!>                  vectors) are returned in the array VT;
!>          = 'O':  the first min(m,n) rows of V**T (the right singular
!>                  vectors) are overwritten on the array A;
!>          = 'N':  no rows of V**T (no right singular vectors) are
!>                  computed.
!>
!>          JOBVT and JOBU cannot both be 'O'.
!>
```

*M*

```
!>          M is INTEGER
!>          The number of rows of the input matrix A.  M >= 0.
!>
```

*N*

```
!>          N is INTEGER
!>          The number of columns of the input matrix A.  N >= 0.
!>
```

*A*

```
!>          A is DOUBLE PRECISION array, dimension (LDA,N)
!>          On entry, the M-by-N matrix A.
!>          On exit,
!>          if JOBU = 'O',  A is overwritten with the first min(m,n)
!>                          columns of U (the left singular vectors,
!>                          stored columnwise);
!>          if JOBVT = 'O', A is overwritten with the first min(m,n)
!>                          rows of V**T (the right singular vectors,
!>                          stored rowwise);
!>          if JOBU .ne. 'O' and JOBVT .ne. 'O', the contents of A
!>                          are destroyed.
!>
```

*LDA*

```
!>          LDA is INTEGER
!>          The leading dimension of the array A.  LDA >= max(1,M).
!>
```

*S*

```
!>          S is DOUBLE PRECISION array, dimension (min(M,N))
!>          The singular values of A, sorted so that S(i) >= S(i+1).
!>
```

*U*

```
!>          U is DOUBLE PRECISION array, dimension (LDU,UCOL)
!>          (LDU,M) if JOBU = 'A' or (LDU,min(M,N)) if JOBU = 'S'.
!>          If JOBU = 'A', U contains the M-by-M orthogonal matrix U;
!>          if JOBU = 'S', U contains the first min(m,n) columns of U
!>          (the left singular vectors, stored columnwise);
!>          if JOBU = 'N' or 'O', U is not referenced.
!>
```

*LDU*

```
!>          LDU is INTEGER
!>          The leading dimension of the array U.  LDU >= 1; if
!>          JOBU = 'S' or 'A', LDU >= M.
!>
```

*VT*

```
!>          VT is DOUBLE PRECISION array, dimension (LDVT,N)
!>          If JOBVT = 'A', VT contains the N-by-N orthogonal matrix
!>          V**T;
!>          if JOBVT = 'S', VT contains the first min(m,n) rows of
!>          V**T (the right singular vectors, stored rowwise);
!>          if JOBVT = 'N' or 'O', VT is not referenced.
!>
```

*LDVT*

```
!>          LDVT is INTEGER
!>          The leading dimension of the array VT.  LDVT >= 1; if
!>          JOBVT = 'A', LDVT >= N; if JOBVT = 'S', LDVT >= min(M,N).
!>
```

*WORK*

```
!>          WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
!>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK;
!>          if INFO > 0, WORK(2:MIN(M,N)) contains the unconverged
!>          superdiagonal elements of an upper bidiagonal matrix B
!>          whose diagonal is in S (not necessarily sorted). B
!>          satisfies A = U * B * VT, so it has the same singular values
!>          as A, and singular vectors related by U and VT.
!>
```

*LWORK*

```
!>          LWORK is INTEGER
!>          The dimension of the array WORK.
!>          LWORK >= MAX(1,5*MIN(M,N)) for the paths (see comments inside code):
!>             - PATH 1  (M much larger than N, JOBU='N')
!>             - PATH 1t (N much larger than M, JOBVT='N')
!>          LWORK >= MAX(1,3*MIN(M,N) + MAX(M,N),5*MIN(M,N)) for the other paths
!>          For good performance, LWORK should generally be larger.
!>
!>          If LWORK = -1, then a workspace query is assumed; the routine
!>          only calculates the optimal size of the WORK array, returns
!>          this value as the first entry of the WORK array, and no error
!>          message related to LWORK is issued by XERBLA.
!>
```

*INFO*

```
!>          INFO is INTEGER
!>          = 0:  successful exit.
!>          < 0:  if INFO = -i, the i-th argument had an illegal value.
!>          > 0:  if DBDSQR did not converge, INFO specifies how many
!>                superdiagonals of an intermediate bidiagonal form B
!>                did not converge to zero. See the description of WORK
!>                above for details.
!>
```

**Author**

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Definition at line **209** of file **dgesvd.f**.

## Author

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