similar to: Inverting filters

Hi, I''m trying to police ingress traffic based on port numbers and IP addresses. The u32 match based on IP addresses seems to work without issues and I''m am able to police incoming packets. However, the same isn''t working with u32 matches based on TCP port numbers. For port numbers, I added exactly one ''u32 match'' rule: common for both: # tc qdisc add

Hi.. I have to invert a 15000 x 15000 matrix (generalized inverse). I do run the process on a fairly powerful computer. but still complains indufficient memory. Is there a way one can invert a large matrix in some other efficient manner. Thanks Harsh --------------------------------- [[alternative HTML version deleted]]

Hello, I am trying to generate random survival times by inverting the function,  S(t)= exp(b*F(t)), where b is constant and F(t) is some cumulative distribution function, let say that F(t) is cdf of normal distribution or any others distributions.   as we know that S(t) has uniform distribution on  (0,1) so we can write that U= exp(b*F(t)), where U is uniform (0,1). Now to generat the time t, we

Full_Name: Ravi Varadhan Version: 2.8.1 OS: Windows Submission from: (NULL) (162.129.251.19) Inverting a matrix with solve(), but using LAPACK=TRUE, gives erroneous results: Here is an example: hilbert <- function(n) { i <- 1:n; 1 / outer(i - 1, i, "+") } h5 <- hilbert(5) hinv1 <- solve(qr(h5)) hinv2 <- solve(qr(h5, LAPACK=TRUE)) all.equal(hinv1, hinv2) #

Is there an easy way to invert a table? (not to solve for the inverted matrix, just swap rows for columns & vice versa). I've gone through my data manipulation bible (Phil Spector's book), but to no avail. [[alternative HTML version deleted]]

Refiling this. The actual fix was slightly more complicated. Will soon be committed to R-Patched (aka 2.9.1 beta). -p rvaradhan at jhmi.edu wrote: > Full_Name: Ravi Varadhan > Version: 2.8.1 > OS: Windows > Submission from: (NULL) (162.129.251.19) >=20 >=20 > Inverting a matrix with solve(), but using LAPACK=3DTRUE, gives erroneo= us > results: Thanks, but there seems

rvaradhan at jhmi.edu wrote: > Full_Name: Ravi Varadhan > Version: 2.8.1 > OS: Windows > Submission from: (NULL) (162.129.251.19) > > > Inverting a matrix with solve(), but using LAPACK=TRUE, gives erroneous > results: Thanks, but there seems to be a much easier fix. Inside coef.qr, we have coef[qr$pivot, ] <- .Call("qr_coef_real", qr, y, PACKAGE =

All, I installed Vista on Xen yesterday, but it no longer shows up on my Admin console. Disk space still shows 30G used by it. Also, how do I eject CDROM while Xen is running :) Thanks, Andrey _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users

Hi, I want to use inverted matches with tc-filter. I tried to invert the matches with a "!", but this doesn''t seem to be the correct syntax. The following rules don''t work: ---------------------------snip----------------------------------------- $TC filter $ACTION dev $DEV protocol ip parent 1:0 u32 match ip src ${NETWORK[$i]} !match ip dst 192.168.0.0/24 flowid

Hi Hal, On 1/16/19 6:59 PM, Dmitriev, Serguei N via llvm-dev wrote: Hi all, We have recently encountered a problem with AssumptionCache that it does not get updated when a block with llvm.assume calls gets outlined by the CodeExtractor. As a result we end up with stale references to the llvm.assume calls that were moved to the outlined function in the parent function's cache. The problem

Can R invert a 160000x160000 matrix with all positive numbers? Thanks a lot!

https://bugzilla.netfilter.org/show_bug.cgi?id=1241 Bug ID: 1241 Summary: Please support inverting filters Product: conntrack-tools Version: unspecified Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: conntrack Assignee: netfilter-buglog at

I need to get windows going.. I can''t find what pkg contains it. This is AMD malysh:/etc/xen# dpkg -l|grep xen|awk ''{print $2,$3}'' linux-headers-2.6-xen-amd64 2.6.18+6 linux-headers-2.6.18-4-xen 2.6.18.dfsg.1-12 linux-headers-2.6.18-4-xen-amd64 2.6.18.dfsg.1-12 linux-image-2.6.18-4-xen-amd64 2.6.18.dfsg.1-12 linux-modules-2.6.18-4-xen-amd64 2.6.18.dfsg.1-12

Hello, just a simple question How can I do to invert the sign of a number? (for example: -4 to 4, 2 to -2 and so on..) I was looking for a specific function in R but I didn't found it... thank you Francesco -- View this message in context: http://www.nabble.com/Invert-the-sign-of-a-number-tp26110267p26110267.html Sent from the R help mailing list archive at Nabble.com.

Dear List, I am using the wireframe function in the lattice package, and I am wondering if it is possible to invert the default axes orientation for x and y axes... what parameter should I look for? Best regards, Simone Gabbriellini

Hello R-Users, I have to invert a matrix 3000X3000 and the solve method doesn't work or it is too slow. Are there any methods to invert a big matrix? Regards Stefan --------------------------------- [[alternative HTML version deleted]]

Dear all, Either I'm being totally blind now (as you know, the eyes are the first thing that is blinded :-)), or something is missing in "An Introduction to R". The section heading of section 5.7.1 is "Multiplication, inversion and solving linear equations", and since I was looking for the canonical way of inverting a matrix, this was the place to look. However, I found

G'day, All. I have been trying to trackdown a problem in my R analysis script. I perform a scale() operation on a matrix then do further work. Is there any way of inverting the scale() such that sX <- scale(X) Xprime <- inv.scale(x); # does inv.scale exist? resulting in Xprime_{ij} == X_{ij} where Xprime_{ij} \in R There must be some way of doing it but I'm such a newb

Hi! This is probably a very trivial question. Is there an easy way to invert the y-axis (low values on top) when using the function barplot()? Thanks, Jörg [[alternative HTML version deleted]]

Dear R-help list users, I have a huge vector of numbers, how I can invert orden? For example x <- 1:10000000 I would like to obtain x_r <- 10000000:1 Thanks, Sebastian.