01-25-2017
DuaneTiemann
Fluorite | Level 6
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09-01-2016
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Latest posts by DuaneTiemann
Subject Views Posted 2290 01-25-2017 09:20 AM 2291 01-25-2017 09:15 AM 2296 01-25-2017 07:50 AM 2307 01-24-2017 11:36 PM 2337 01-24-2017 01:43 PM 1930 09-09-2016 12:55 PM 2255 09-04-2016 12:23 PM 1958 09-03-2016 09:00 AM -
Activity Feed for DuaneTiemann
- Got a Like for Re: lpsolve ERROR: out of memory. 01-25-2017 01:26 PM
- Posted Re: lpsolve ERROR: out of memory on Mathematical Optimization, Discrete-Event Simulation, and OR. 01-25-2017 09:20 AM
- Posted Re: lpsolve ERROR: out of memory on Mathematical Optimization, Discrete-Event Simulation, and OR. 01-25-2017 09:15 AM
- Posted Re: lpsolve ERROR: out of memory on Mathematical Optimization, Discrete-Event Simulation, and OR. 01-25-2017 07:50 AM
- Posted Re: lpsolve ERROR: out of memory on Mathematical Optimization, Discrete-Event Simulation, and OR. 01-24-2017 11:36 PM
- Posted lpsolve ERROR: out of memory on Mathematical Optimization, Discrete-Event Simulation, and OR. 01-24-2017 01:43 PM
- Posted Re: Unexpected clusters from PROC CORR data using PROC CLUSTER on Statistical Procedures. 09-09-2016 12:55 PM
- Posted Re: SAS University_Problems with the proc tree procedure_cluster analysis_no dendrogram visible on SAS Procedures. 09-04-2016 12:23 PM
- Posted Unexpected clusters from PROC CORR data using PROC CLUSTER on Statistical Procedures. 09-03-2016 09:00 AM
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My Liked Posts
Subject Likes Posted 2 01-25-2017 09:15 AM

01-25-2017
09:20 AM
01-25-2017
09:20 AM
Looks like I'm nowhere near the limit. Still, the page you reference does not mention limiting problem size. Though to be fair, university and learning are mentioned. I was surprised to find out about the memory limit. I expect others will be as well. And it does seem tacky to me. Non-commercial use seemed to be the target.
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01-25-2017
09:15 AM
2 Likes
01-25-2017
09:15 AM
2 Likes
Upgrading to 9.4M4 worked.
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01-25-2017
07:50 AM
01-25-2017
07:50 AM
Thanks. That seems credible. I'll try upgrading. I thought I was up to date since UE checks at launch and reports that it is up to date.
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01-24-2017
11:36 PM
01-24-2017
11:36 PM
I don't recall seeing the 'learning tool' stance and associated limitations when I was installing it last year. The stress seemed to be on us not using it commercially. Maybe I missed it. I thought it was just missing some features. So is lpsolve completely unavailable on UE due to this error? Or have I made a stupid mistake? I have to say that I'm pretty put off if SAS would purposely hobble UE in this fashion. If I can find it back, I recall finding instructions for loading UE on another virtualization environment and getting around this problem (if this is really my problem). But if SAS is acting in bad faith, then that sort of thing isn't a good strategy long term. Sounds like R's lp solution is a hassle, but at least they're not putting land mines in it on purpose.
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01-24-2017
01:43 PM
01-24-2017
01:43 PM
I just tried lpsolve in IML on SAS University Edition. It fails with "ERROR: out of memory", apparently regardless of the number of variables. I've tried increasing the sizes on IML to no avail. I wonder if changing the memsize option would work. I don't see how to do that under VirtualBox though. In fact, some comments indicate that SAS has actually locked us out 'because UE is only for smallish programs'. It's not clear to me that lpsolve would run on my config regardless of problem size. Is there a way to change memsize on UE/VirtualBox setup? Is that really what is needed? Thanks, Duane Release: 3.5 (Basic Edition) Supported browsers: Microsoft Internet Explorer 9, 10, 11 Mozilla Firefox 21+ Google Chrome 27+ Apple Safari 6.0+ (on Apple OS X) Build date: Feb 3, 2016 10:49:31 PM SAS Mid-tier release: Jan 13, 2016 7:00:00 PM Java Version: 1.7.0_76 SAS release: 9.04.01M3P06242015 SAS platform: Linux LIN X64 2.6.32-573.26.1.el6.x86_64 Site name: UNIVERSITY EDITION 2.3 9.4M3 Site number: xxxxxxxx Copyright © 2012-2016, SAS Institute Inc., Cary, NC, USA. 94 proc iml symspace=256000000 workspace=256000000 worksize=256000000; NOTE: Assuming that the number is given in bytes and not kilobytes. NOTE: Assuming that the number is given in bytes and not kilobytes. NOTE: Assuming that the number is given in bytes and not kilobytes. NOTE: Worksize = 256000000 NOTE: Symbol size = 256000000 NOTE: IML Ready 95 use lib.raw; 96 read all var {U } into u; 97 read all var {Score } into c; 98 read all var {G I GI In Inv M} into a; 99 a = a`; 100 b = {.3, .2, .1, .14, .45, .45}; 101 leg={G , G , G , G , G , G }; 102 ctrl = {-1,1}; 102 ! /* maximize objective, print some details */ 103 104 call lpsolve(rc, objVal, result, dual, reducost, 105 c, a, b, 106 ctrl, 107 leg,,,u); ERROR: Out of memory. NOTE: Number of iterations = 0. NOTE: Time used (secs) = 0.00. 108 print rc objVal, result[rowname={x1 x2}]; 109 110 111 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
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09-09-2016
12:55 PM
Thanks a lot. That's very helpful. Duane
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09-04-2016
12:23 PM
I have the same problem. PROC TREE does not produce graphics output in University Edition. I tried the GRAPHICS option as well but got "High resolution graphics is not available since SAS/GRAPH is either not licensed for your system or the license has expired.". I read elsewhere that SAS/GRAPH is not available with University Edition. PROC CLUSTER produces a nice graphic chart using TREE, but TREE won't display the outtree produced by CLUSTER. I want to create my own agglomeration and use PROC TREE's graphic display. Is that supposed to be possible in University Edition? University Edition Release 3.5
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09-03-2016
09:00 AM
I would like to discover clusters of simple line plots. I ran CORR on the plots and subtracted the correlations from 1 to get "distances" between each plot. I was surprised to see that CLUSTER did not always provide low level clusters of the closest plots with any of the methods that I tried. I expect that this is because CLUSTER treats each column sort of as a position in an 'n space' dimension. i.e. it does not rely on the distance calculated by CORR between 2 plots to determine the distance to use and doesn't know that column names match id variable values. I tried Type=DISTANCE as well with no success, though I can't claim to understand how distance is treated differently from coordinates. The X axis range for the plots varies so the overlap between plots is inconsistent which may be what allows 2 highly correlated plots to have more variability in correlations with less related plots. I was hoping to find small clusters of the most correlated plots that then comprise larger clusters, and so on. Is there a way to do that? Or do I need to code it myself using the agglomerate paradigm? Or am I doing something dumb? I'm no expert at clustering so I wouldn't be surprised to find I have a conceptual issue. Note CORR reports VADAX and MVCAX are the 2nd most correlated plot pair, but they do not comprise a low level cluster. FWIW SAS 3.5 University Edition Thanks, Duane
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