# KrylovKit svd solver not running properly

**URL:** https://discourse.julialang.org/t/krylovkit-svd-solver-not-running-properly/28812
**Category:** New to Julia
**Created:** [September 16, 2019, 2:51pm UTC](https://discourse.julialang.org/t/krylovkit-svd-solver-not-running-properly/28812 "2019-09-16T14:51:28Z")
**Posts on this page:** 1
**Showing post:** 3

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### Author: ![iamsuddhasattwa](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/iamsuddhasattwa/32/7441_2.png) [@iamsuddhasattwa](https://discourse.julialang.org/u/iamsuddhasattwa)
#### Post date: [September 16, 2019, 8:14pm UTC](https://discourse.julialang.org/t/krylovkit-svd-solver-not-running-properly/28812/3 "2019-09-16T20:14:42Z")

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I was under the impression that it is sufficient for the krylov dimension needs to be 2L+1, where L is the number of singular values/vectors required.  
I will try out with the verbosity command.  
Can you suggest any other tried and tested package. I had earlier reported a problem / bug with the `svds()` routine [here](https://discourse.julialang.org/t/arpackexception-unspecified-arpack-error-when-doing-svd-of-sparse-matrix/22753/3), to which you had suggested `KrylovKit.jl`

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