Displaying 20 results from an estimated 600 matches similar to: "[LLVMdev] RegisterClass constraints in TableGen"
2014 Nov 05
2
[LLVMdev] Virtual register def doesn't dominate all uses
Hi Quentin,
Am 03.11.2014 um 23:30 schrieb Quentin Colombet <qcolombet at apple.com>:
>> Continuing at 4309
>> Match failed at index 4310
>> Continuing at 4322
>> Morphed node: 0x7fef2a033610: i32 = MVrr 0x7fef2a033610 [ORD=21]
>>
>>
>> Does the add operation become a MOVE instruction, or is this a chain of rules?
>
> Yes, your add becomes
2014 Nov 03
2
[LLVMdev] Virtual register def doesn't dominate all uses
Hi Quentin,
>> Yes, the dags in view-isel-dags and view-legalize-types-dags are correct (the add operations are here and are their results are used) and the dags are the same.
>
> And what about view-sched-dags?
The DAG looks like I described below (*)
> This one should give you what has been selected. So if this is not correct, you have indeed a problem in the selection
2007 Jun 15
0
Solaris 10 x64 Compiling issues with Sun Studio 12
Hello, I''m having problems compiling Ruby 1.8.5 on a 64-bit Intel
machine running Solaris 10 U3.
I''m using Sun Studio 12 for building an optimized package for our
company. We''re not interested in coolstack (from Sun used with GCC).
Any help below would be appreciated:
root@host # uname -an
SunOS host 5.10 Generic_125101-08 i86pc i386 i86pc Solaris
root@host # isainfo
2010 Jul 04
5
dovecot-1.2.12 fails to build on Solaris 8 and 10
configure fails with :
configure: error: Unsupported off_t type
I am not too sure what off_t is needed but this is a pretty standard thing.
My configure line :
./configure --build=i386-pc-solaris2.10 --host=i386-pc-solaris2.10
--prefix=/opt/csw --with-zlib --with-ssl=openssl
--with-storages=mbox,maildir --with-libiconv-prefix=/opt/csw
Yes, the openssl libs are in /opt/csw/lib
Not sure what
2010 Aug 16
19
v2.0.0 released
http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz
http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz.sig
As promised last Friday, here's the v2.0.0 release finally. I'm
cautiously optimistic that v2.0.1 won't (have to) be released for a few
weeks, since there was quite a lot of testing and fixing going on in the
RC stage.
Remember to read http://wiki2.dovecot.org/Upgrading/2.0
2010 Aug 16
19
v2.0.0 released
http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz
http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz.sig
As promised last Friday, here's the v2.0.0 release finally. I'm
cautiously optimistic that v2.0.1 won't (have to) be released for a few
weeks, since there was quite a lot of testing and fixing going on in the
RC stage.
Remember to read http://wiki2.dovecot.org/Upgrading/2.0
2019 Mar 25
2
Overlapping register groups in old 8-bit MC6809 processor.
Hi
I'm returning to my MC6809 back-end from a health-related hiatus. The assembler is tantalisingly close, but I've got some parsing and matching problems.
The register set; these overlap in annoying ways, for instance, two instructions TFR and EXG each have a single opcode, and the post-byte specifies which registers are to be involved, but the registers can be 8- or 16-bit, and 2 of
2008 Jan 11
1
question about xreg of arima
Hi,
I am trying to understand exactly what xreg does in arima. The documentation
for xreg says:"xreg Optionally, a vector or matrix of external regressors,
which must have the same number of rows as x." What does this mean with
regard to the action of xreg in arima?
Apparently somehow xreg made the following two arima fit equivalent in R:
arima(x, order=c(1,1,1), xreg=1:length(x))
is
2008 Sep 10
2
arima and xreg
Dear R-help-archive..
I am trying to figure out how to make arima prediction when I have a
process involving multivariate time series input, and one output time
series (output is to be predicted) .. (thus strictly speaking its an
ARMAX process). I know that the arima function of R was not designed
to handle multivariate analysis (there is dse but it doesnt handle
arma multivariate analysis, only
2004 May 02
1
arima problems when using argument fixed=
As I am reading ?arima, only NA entries in the argument fixed=
imports. The following seems to indicate otherwise:
x <- arima.sim(model=list(ar=0.8), n=100) + (1:100)/50
> t <- 1:100
> mod1 <- lm(x ~ t)
>
> init1 <- c(0, coef(mod1)[2])
> fixed1 <- c(as.numeric(NA), 0)
>
> arima(x, order=c(1,0,0), xreg=t, include.mean=FALSE, init=init1,
fixed=fixed1)
2010 Mar 31
1
predict.Arima: warnings from xreg magic
When I run predict.Arima in my code, I get warnings like:
Warning message:
In cbind(intercept = rep(1, n), xreg) :
number of rows of result is not a multiple of vector length (arg 1)
I think this is because I'm not running predict.Arima in the same
environment that I did the fit, so the data object used in the fit is no
longer present. Looking at the predict.Arima source,
2005 Mar 05
4
How to use "lag"?
Is it possible to fit a lagged regression, "y[t]=b0+b1*x[t-1]+e",
using the function "lag"? If so, how? If not, of what use is the
function "lag"? I get the same answer from y~x as y~lag(x), whether
using lm or arima. I found it using y~c(NA, x[-length(x)])). Consider
the following:
> set.seed(1)
> x <- rep(c(rep(0, 4), 9), len=9)
> y <-
2007 Jan 16
2
ARIMA xreg and factors
I am using arima to develop a time series regression model, I am using arima
b/c I have autocorrelated errors. Several of my independent variables are
categorical and I have coded them as factors . When I run ARIMA I don't
get any warning or error message, but I do not seem to get estimates for all
the levels of the factor. Can/how does ARIMA handle factors in xreg?
here is some example
2004 Jan 14
2
Fixed parameters in an AR (or arima) model
Hello
I want to fit an AR model were two of the coefficients are fixed to zero
(the second and third ar-coefficients).
I used the "arima" function with the "fixed" argument but the ar3
coefficient is not set to zero:
==============================================
> arima(Y, order=c(4,0,0), xreg=1:23, fixed=c(NA,0,0,NA,NA,NA))
Call:
arima(x = Y, order = c(4, 0, 0), xreg =
2003 Sep 01
1
Arima with an external regressor
Hello,
Does anybody know if the function arima with an external regressor (xreg)
applies the auto correlation on the dependant variable or on the residuals.
In comparison with SAS (proc autoreg), it seems that the auto correlation
applies on the residuals but i'd like to have the confirmation.
I want to estimate:
Y[t] = a[1]*X[t] + a[2] + E[t]
with E[t]=b[1]*E[t-1]
Should I use :
arima(Y,
2008 Nov 27
1
"xreg" in ARIMA modelling.
Hello,
Does anyone know how the parameter estimates are calculated for xreg
variables when called as part of an arima() command, or know of any
literature that provides this info? In particular, I was wondering if there
is a quick way to compare different combinations of "xreg" variables in the
arima() fit in the same way that you would in multiple regression (using AIC
& R^2
2015 Nov 19
7
[Bug 93004] New: Guild Wars 2 crash on nouveau DX11 cards
https://bugs.freedesktop.org/show_bug.cgi?id=93004
Bug ID: 93004
Summary: Guild Wars 2 crash on nouveau DX11 cards
Product: Mesa
Version: git
Hardware: Other
OS: All
Status: NEW
Severity: normal
Priority: medium
Component: Drivers/DRI/nouveau
Assignee: nouveau at
2015 May 21
3
Fix for bug in arima function
On 21 May 2015, at 12:49 , Martin Maechler <maechler at lynne.stat.math.ethz.ch> wrote:
>>>>>> peter dalgaard <pdalgd at gmail.com>
>>>>>> on Thu, 21 May 2015 11:03:05 +0200 writes:
>
>> On 21 May 2015, at 10:35 , Martin Maechler <maechler at lynne.stat.math.ethz.ch> wrote:
>
>>>>
>>>> I noticed that
2012 Jan 10
1
Lag() and lag()
lag is a very confusing function
i try to plot lag(x,-h) and y , the results are the same figures for all the
h lags.
then i saw online people use lag(x,-h) as xreg in arima
that won't work in my eyes if lag function is consistent, isnce it returns
the same value for all the lags
i don't know in which occasion people will use this function
besides I suppose Lag(x,h) is the same as
2012 Mar 29
1
how to increase speed for function?/time efficiency of below function
i am using sarima() function as below
___________________________________________________________________________________________
sarima=function(data,p,d,q,P=0,D=0,Q=0,S=-1,tol=.001){
n=length(data)
constant=1:n
xmean=matrix(1,n,1)
if (d>0 & D>0)
fitit=arima(data, order=c(p,d,q), seasonal=list(order=c(P,D,Q),
period=S),