search for: fluctuating

On Dec 5, 2011, at 5:50 PM, me22 wrote: > On Thu, Dec 1, 2011 at 09:23, Dan Gohman <gohman at apple.com> wrote: >> >> int a = INT_MAX, b = 1; >> long c = (long)(a + b); >> >> What is the value of c, on an LP64 target? >> >> If a and b are promoted to 64-bit, c is 0x0000000080000000. >> >> In a world where signed add overflow

Dear R-users, Has anyone written a function for multifractal detrended fluctuation analysis? The "fractal" package does mono-fractal DFA, but not multifractal as far as I can tell. The MF-DFA approach is presented in: J. W. Kantelhardt, S. Zschiegner, E. Koscielny-Bunde, S. Havlin, A. Bunde, and H. E. Stanley, "Multifractal Detrended Fluctuation Analysis of

On 2019-02-16 12:41 p.m., Stuart D. Gathman wrote: > On Sat, 16 Feb 2019, James wrote: > >> These changed: >> battery.runtime: >> ups.load: >> >> Is the battery dead again? >> Do I need a new UPS? > > Compare the upsc output with the screen/led display on the UPS.  If they > are in agreement, then there is no problem with NUT.  Your issue is

...I tried nut 2.0.5 (which came with 2007.1) but it wouldn't work, and then research showed it was an older version of nut. So nut-2.2.1-2 src rpm was pulled from Mandriva 2008.1, the binary rpm built, and nut and nut-server installed from that binary rpm. It mostly works, but the UPS status is fluctuating between B and L. With /etc/ups/ups.conf set like this: [myserverups] driver = usbhid-ups port = auto desc = "TrippLite SU 1500RTXL2Ua" and some entries in upsmon.conf and nut was started with: service upsd start service upsmon start it seemed to start up ok. upsc showed...

On Thu, Dec 1, 2011 at 09:23, Dan Gohman <gohman at apple.com> wrote: > > int a = INT_MAX, b = 1; > long c = (long)(a + b); > > What is the value of c, on an LP64 target? > > If a and b are promoted to 64-bit, c is 0x0000000080000000. > > In a world where signed add overflow returns undef, c could be any of >  0x0000000000000000 >  ... >

I'm working with the DFA (detrended fluctuation analysis) function in the package fractal on postural sway data, and for the life of me can't get the results to turn out as they should given what my data looks like. The data resemble a random walk, but the Hurst exponent estimates that I'm getting at ~0.9 instead of ~1.4, which is the value a researcher I've been working with

Hi - Suppose I have a Q-1 Vorbis stream being served from a machine on a low-bandwidth internet connection. I listen to the stream locally using Winamp, which shows the bitrate fluctuating between around 35-55 kbps, the average being 48k. Now suppose I have 10 external listeners connected. How much bandwidth will they need/use? Common sense says: average bitrate * 10 = 480kbps (plus any overheads) Here's the question: If I have 10 listeners connected, and the bitrate fluctuat...

Good afternoon, my name is Gorka Merino and i am a scientist working in the Marine Science Institune in Barcelone. I'm interested in the application of "Detrended Fluctuation Analysis" (DFA) with the R packages. I've tried to obtain some information related to DFA from the 'Help' options but failed. Could somebody inform me about the use of these techniques in R

Hi all, Has anyone tested for FA in R? I need to seperate out the variance due to measurement error from variation between individuals (following Palmer & Strobeck 1986). Andy Higginson Animal Behaviour and Ecology Research Group School of Biology University of Nottingham NG7 2RD U.K. This message has been checked for viruses but the contents of an attachment may still contain

...rom 56MB/s to 4-10MB/s) But actually, the csum calculation of the ordered extents which were introduced by the current fsync had already completed. Those ordered extents whose csum was being calculated didn''t belong to the current fsync, we can ignore them. By this patch, the performance fluctuating doesn''t happen, and the average performance grows up by ~2%. Test Environment: CPU: 2CPU * 2Cores Memory: 4GB Partition: 20GB(HDD) Test Command: # sysbench --num-threads=8 --test=fileio --file-num=1 \ > --file-total-size=8G --file-block-size=32768 \ > --file-io-mode=sync --fil...

https://bugs.freedesktop.org/show_bug.cgi?id=107628 Bug ID: 107628 Summary: On GeForce 8200M G, driver reports wild temperature fluctuations, effectively blocking the system at boot Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal

On Dec 1, 2011, at 9:09 AM, Chris Lattner wrote: > > On Dec 1, 2011, at 8:46 AM, Dan Gohman wrote: > >> >> On Nov 30, 2011, at 10:49 PM, Chris Lattner wrote: >> >>> >>> On Nov 29, 2011, at 3:21 PM, Dan Gohman wrote: >>> >>>> >>>> A natural reaction to this problem is to think that LLVM IR is so nice

On Wed, Mar 16, 2016 at 9:05 AM, Rafael Espíndola < rafael.espindola at gmail.com> wrote: > On 16 March 2016 at 01:34, George Rimar <grimar at accesssoftek.com> wrote: > > Slowdown by "[ELF] - Early continue in > InputSectionBase<ELFT>::relocate(). > > NFC." looks wierd for me. I do not see any reasons for any impact on > > perfomance by this

Dear useRs, the strucchange package for testing for structural change has been updated: the current version is 1.2-4. The most significant additions were two functions gefp() and efpFunctional(). gefp() implements a class of generalized M-fluctuation tests for testing for parameter instability or structural change in general parametric models including generalized linear models (GLMs).

Dear useRs, the strucchange package for testing for structural change has been updated: the current version is 1.2-4. The most significant additions were two functions gefp() and efpFunctional(). gefp() implements a class of generalized M-fluctuation tests for testing for parameter instability or structural change in general parametric models including generalized linear models (GLMs).

Hi All I was using the DFA() in the fractal package to examine a set of time series data. And I was not sure what the H estimate meant from the summary table. is it the alpha of the power law equation?

Hi all, I am using the glmnet R package to run LASSO with binary logistic regression. I have over 290 samples with outcome data (0 for alive, 1 for dead) and over 230 predictor variables. I currently using LASSO to reduce the number of predictor variables. I am using the cv.glmnet function to do 10-fold cross validation on a sequence of lambda values which I let glmnet determine. I then take

hi all we're using rsync to backup our web server at the moment using it in a cron job the server we are using to receive all the sync files is a live but not heavily used linux machine but rsync still takes up more resources than we want it to it takes up to 95% (fluctuating) cpu load and a fair bit of memory too the cron job uses nice -19 rsync but that doesn't seem to do anything, is there anyway to make it use like 5% cpu or something? thanks dave

...### Demoting loads / stores from GCREF to integers is invalid (case 1): %v0 = load GCREF, GCREF* %ptr_0 %v1 = load GCREF, GCREF* %ptr_1 %cmp = icmp eq %v0, %v1 ==> %v0 = load i64, i64* %ptr_0 %v1 = load i64, i64* %ptr_1 %cmp = icmp eq %v0, %v1 Invalid because the initial IR is comparing two GC fluctuating references, while the the transformed IR will compare their bitwise snapshot taken at an arbitrary point in time. ### Demoting loads / stores from GCREF to integers is invalid (case 2): %v0 = load GCREF, GCREF* %loc0 store GCREF %v0, GCREF* %loc1 ==> %v0 = load i64, i64* (bitcast %loc0) store...

On Jan 12, 2020, at 12:58 PM, Gene Heskett wrote: > > But this doesn't pass the smell test, 3 other machines that are trained > to reboot when power returns and have no ups fitted, were NOT rebooted > as evidenced by their reported uptimes, one of which shows a 144 day > uptime. So why should this have been logged via a -wall bc to every > login it is servicing? >