# svdfact(A)

svdfact(A, [thin=true]) -> SVD

Compute the Singular Value Decomposition (SVD) of `A`

and return an `SVD`

object. `U`

, `S`

, `V`

and `Vt`

can be obtained from the factorization `F`

with `F[:U]`

, `F[:S]`

, `F[:V]`

and `F[:Vt]`

, such that `A = U*diagm(S)*Vt`

. If `thin`

is `true`

, an economy mode decomposition is returned. The algorithm produces `Vt`

and hence `Vt`

is more efficient to extract than `V`

. The default is to produce a thin decomposition.

## Examples

## See Also

## User Contributed Notes

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