- Join over
**1.5M+ people** - Join over
**100K+ communities** - Free
**without limits** - Create
**your own community**

- May 14 01:33poulson closed #276
- May 14 01:33poulson commented #276
- May 14 01:30
poulson on master

Update README.md (compare)

- May 14 01:24
poulson on master

added logo (compare)

- May 10 21:37jedbrown commented #276
- May 10 21:25poulson commented #276
- May 10 21:21jedbrown commented #276
- May 10 17:08poulson commented #276
- May 10 17:03tesch1 opened #276
- Apr 10 13:18JM1 commented #275
- Apr 10 13:16JM1 synchronize #275
- Apr 10 08:56JM1 opened #275
- Mar 06 03:47Raviteja1996 closed #274
- Mar 05 05:46Raviteja1996 opened #274
- Feb 11 21:53BenBrock commented #228
- Feb 11 21:52BenBrock commented #228
- Feb 11 21:51poulson commented #228
- Feb 11 21:50poulson commented #228
- Feb 11 21:45BenBrock commented #228
- Jan 23 23:57adambaskerville commented #273

@AidanGG Sorry, I hadn't checked this gitter in a while for temporary reasons. The

`COMPACT_SVD`

is indeed meant to have that behavior: the finite-precision reduction to bidiagonal form introduces a perturbation of magnitude similar to `eps || A ||_2 max(m,n)`

, and so one should ignore singular values below this amount.
any cases of SVD not converging should be a bug: do you have a reproducing example?

there are several SVD algorithms (e.g., Divide and Conquer and QR), so it is unlikely that multiple of them are not converging for the same matrix

and you are correct that ScaLAPACK does not support 64-bit integers (and the problem is in the library itself, not Elemental)

I've been working on getting the LP solvers to work on all of the http://www.netlib.org/lp/data/ examples using a symmetric-indefinite solver and hadn't been checking in as much as I should have

Is there any reason why we can’t further generalize elastic net to penalize l1*||Gx||_1 + l2*||Gx||_2 for a square matrix G.

or even two matrices G,H (where in my case G=H)

Looking at the EN code, it looks like I need to just patch up the corresponding bits of the objective function

and H can be an arbitrary matrix. Not sure how to do the same thing for G here.. but, I don’t need it.

it's still a QP

my guess is that it would take about 10 minutes

ScaLAPACK uses the QR algorithm

have you tested Elemental's QR algorithm on it?

yes

Also, did you verify that ScaLAPACK returned with

`INFO=0`

?
I've tried setting qrctrl.demandconverged to false, but I don't think that worked either