similar to: integer constraint

Hey All, I am testing PSO password policies and am having trouble getting the Maximum password age to be enforced. I have a test policy applied to a group and it does enforce complexity and Minimum password length but not the Maximum password age. Anyone using this setting for PSO's? Samba version 4.10.0-Ubuntu Password information for PSO 'TESTpolicy' Precedence (lowest is

Before going ahead with the tests as you mentioned above, I would just like to clarify a few higher level things that I am still in doubt about. 1) As discussed during the IRC interview, I was suggested about first implementing a normal K-means clustering implementation and then adding on the PSO module as a functionality that can be used to improve quality of clustering for speed as a trade off.

On Sat, Mar 12, 2016 at 04:27:55PM +0530, Richhiey Thomas wrote: > Below I write a raw version of my proposal for Clustering of Search Results > based on our previous mails. Hi, Richhiey. Thanks for putting this together ahead of the formal start of applications, and sharing it with us -- and it's really not too long! Project proposals for something that will last the summer are

Hi Team, I am using fine-grained Password Settings Objects (PSOs), set with 'samba-tool domain passwordsettings pso' to determine a.o. password expiry (max. pw. age), they are set on a group. A while ago I have set one user to never expire: 'samba-tool user setexpiry myuser --noexpiry'. How do I remove 'noexpiry' from the user account and let the user follow the PSO

On Thu, 21 Mar 2024 19:50:17 +0100 Kees van Vloten via samba <samba at lists.samba.org> wrote: > Hi Team, > > > I am using fine-grained Password Settings Objects (PSOs), set with > 'samba-tool domain passwordsettings pso' to determine a.o. password > expiry (max. pw. age), they are set on a group. > > A while ago I have set one user to never expire:

On Thu, May 3, 2018 at 2:03 PM, Michael Ashton <m.ashton at enduringinvestments.com> wrote: > Thanks Bert. But everyone on that forum wants to use finance tools rather than general optimization stuff! And I am not optimizing a traditional Markowitz mean-variance problem. Plus, smarter people here. :-) > I'm very confused by these statements. Most of the "finance tools"

Hi Michael, A few comments 1. To add the constraint sum(wgt.vect=1) you would use the method of Lagrange multipliers. What this means is that in addition to the w_i (the components of the weight variables) you would add an additional variable, call it lambda. Then you would modify your optim.fun() function to add the term lambda * (sum(wgt.vect - 1) 2. Are you sure that you have defined

Dear R-devel members, The question: Is it possible to initialize and later free a large data structure strictly within a shared C library, to be used by a function in the C library that I'll call from R--without ever having to pass data to and from R? This is analogous to C++ object initialization/use/destruction, but if possible I'd like to stay in C. The context: I'm implementing

Dear R-devel members, The question: Is it possible to initialize and later free a large data structure strictly within a shared C library, to be used by a function in the C library that I'll call from R--without ever having to pass data to and from R? This is analogous to C++ object initialization/use/destruction, but if possible I'd like to stay in C. The context: I'm implementing

Hello, I've recently finished with an implementation of KMeans with two initialization techniques, random initialization and KMeans++. I would like to share my findings after evaluating the same. I have tested this implementation of KMeans with a BBC news article dataset. I am currently working on evaluating the same with FIRE datasets. Currently, clustering more than 500 documents

Thanks Bert. But everyone on that forum wants to use finance tools rather than general optimization stuff! And I am not optimizing a traditional Markowitz mean-variance problem. Plus, smarter people here. :-) > On May 3, 2018, at 3:01 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > You can't -- at least as I read the docs for ?optim (but I'm pretty > ignorant

On Mon, Mar 14, 2016 at 02:09:13AM +0530, Richhiey Thomas wrote: > The way the paper has been written I guess is the main source of your > confusion. Let me provide a paper that explains this same concept in a way > that is easier to understand. I was confused by eq (3) that you mentioned > too. Here it is : > http://www.sau.ac.in/~vivek/softcomp/clustering%20PSO+K-means.pdf Ah,

On Mon, Mar 07, 2016 at 01:36:43AM +0530, Richhiey Thomas wrote: > My questions are: > 1) Can you direct me on how to convert this raw idea into a proposal in > context to Xapian with more detail? What areas do I focus on? Our GSoC guide has an application template <https://trac.xapian.org/wiki/GSoCApplicationTemplate> which you should use to structure your proposal. It has some

Hi, it's simple: 1.) put all users in YOURDOMAIN\Domain Users or YOURDOMAIN\Workstation Admins or what you would like 2.) put this group (YOURDOMAIN\Domain Users, YOURDOMAIN\Workstation Admins) into the local group Administrators of each Workstation (you may use vbscript to automate this...) Mit freundlichem Gru?, Dirk Laurenz Systems Engineer PSO - Professional Service

Hello devs, My name is Richhiey Thomas.and I've been selected for GSoC 2016 for the project Clustering of Search Results. I would like to thank the Xapian GSoC admin's for giving me this opportunity and James and Olly to help me with my first merge request. In the next two to three days, I'll critically examine all the aspects of the project that I could have any doubts in and clear

Dear R and hydrological/environmental community, A major release of hydroPSO is now available on CRAN. This new release: -) implements the Standard Particle Swarm 2011 (SPSO-2011) -) is parallel-capable, to alleviate the computational burden of complex models with "long" execution time -) has an improved performance (33% - 38% faster) -) allows normalization, when the parameter space

Dear R and hydrological/environmental community, A major release of hydroPSO is now available on CRAN. This new release: -) implements the Standard Particle Swarm 2011 (SPSO-2011) -) is parallel-capable, to alleviate the computational burden of complex models with "long" execution time -) has an improved performance (33% - 38% faster) -) allows normalization, when the parameter space

- This avoids some problematic "reloc'ed while mapped" messages and some associated corruption as well. Signed-off-by: Maarten Maathuis <madman2003 at gmail.com> --- src/gallium/drivers/nouveau/nouveau_screen.c | 21 +++++++++++++++++++++ src/gallium/drivers/nouveau/nouveau_screen.h | 3 +++ src/gallium/drivers/nouveau/nouveau_stateobj.h | 20 +++++++++++++++++++-

> On Mar 5, 2018, at 8:52 AM, Ding, Yuan Chun <ycding at coh.org> wrote: > > Hi Bert, > > I am very sorry to bother you again. > > For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply. > > I really hope that you can do me a great favor to share your points about how to explain the

- This avoids problematic "reloc'ed while mapped" messages and some associated corruption as well. - Also add one nouveau_bo_unmap() in the vbo code that wasn't present. Signed-off-by: Maarten Maathuis <madman2003 at gmail.com> --- src/gallium/drivers/nouveau/nouveau_screen.c | 21 +++++++++++++++++++++ src/gallium/drivers/nouveau/nouveau_screen.h | 3 +++