similar to: question about formulating a nls optimization

Hi: I have a problem with XEN and networking on a AMD Turion64 laptop. The network interface is a Broadcom NetXtreme BCM5751M PCI express. I have the problem on both RHEL5 and SUSE SLES 10 but I am troubleshooting it on RHEL. When I run the standard kernel, the eth0 interface works absolutely fine with either DHCP or a static IP address. When I boot the XEX kernel, eth0 fails to

Hi all, I''m a total xen-newbie ... I''ve installed xen-3.0-testing from source. (http://www.cl.cam.ac.uk/Research/SRG/netos/xen/downloads/xen-3.0-testing-src.tgz). I''ve followed the intruction for the installation, dom0 work fine and domU start up without problem !!! Now, I''ve tryed to migrate the domU to another dom0 machine but I receive this error on the

Dear R users: I encountered difficulties in michaelis-menten equation. I found that when I use right model definiens, I got wrong Km vlaue, and I got right Km value when i use wrong model definiens. The value of Vd and Vmax are correct in these two models. #-----right model definiens-------- PKindex<-data.frame(time=c(0,1,2,4,6,8,10,12,16,20,24),

Is it possible to use some form of robust regression with the breakpoints routine so that it is less sensitive to outliers? --Rich Richard Kittler Advanced Micro Devices, Inc. Sunnyvale, CA

Dear All,   I could use a bit of help here, this function is hard to figure out (for me at least) I have the following so far:   PKindex<-data.frame(Subject=c(1),time=c(1,2,3,4,6,10,12),conc=c(32,28,25,22,18,14,11)) Dose<-200 Tinf <-0.5   defun<- function(time, y, parms) {  dCpdt <- -parms["kel"] * y[1]  list(dCpdt)  } modfun <- function(time,kel, Vd) {   out <-

Hi there, I am trying to use linear regression to solve the following equation - y <- c(0.2525, 0.3448, 0.2358, 0.3696, 0.2708, 0.1667, 0.2941, 0.2333, 0.1500, 0.3077, 0.3462, 0.1667, 0.2500, 0.3214, 0.1364) x2 <- c(0.368, 0.537, 0.379, 0.472, 0.401, 0.361, 0.644, 0.444, 0.440, 0.676, 0.679, 0.622, 0.450, 0.379, 0.620) x1 <- 1-x2 # equation lmFit <- lm(y ~ x1 + x2) lmFit Call:

Hi R-experts, There is lots of information about maximum likelihood estimation in R. However, I didn't came across anything about maximum likelihood with constraints. For example, estimation of parameters k(1) to k(20) with maximum likelihood, where sum(k(i)) = 0. Is there any standard function in R that can do this, or is this something that I should set up myself? Greetings, Church

I have an optimization question that I was hoping to get some suggestions on how best to go about sovling it. I would think there is probably a package that addresses this problem. This is an ordering optimzation problem. Best to describe it with a simple example. Say I have 100 "bins" each with a ball in it numbered from 1 to 100. Each bin can only hold one ball. This optimization is

Hello, I've a problem with conversion from any charset to 1251. I think there is no support of 1251 codepage at all, only KOI8-R and 866 from cyrillic. xex what can i do, to solve the promblem with russian charset ? Samba resolves russian charset on freebsd perfectly (in log files), the problem is with display charset param it should be 1251 i hope, to reflect correctly. my sys conf:

This is certainly an option... but keeping up an LLVM backend for the 360 seems like a bit much work. Using Clang's rewriter requires no real low-level maintenance, just creating and maintaining a C library for support functions emitted by the compiler (e.g. objc_msgSend). It seems to create a backend for LLVM targeting the 360 I wouldn't need to create something that outputs XEX's

Le 27 mai 2010 à 08:48, Kevin Wooten a écrit : > This is certainly an option... but keeping up an LLVM backend for the 360 seems like a bit much work. Using Clang's rewriter requires no real low-level maintenance, just creating and maintaining a C library for support functions emitted by the compiler (e.g. objc_msgSend). > The clang rewriter is not the same than LLVM C backend.

I'm slightly confused here, just to be clear: you're planning to go ObjC -> LLVM (via Clang or whatever) -> C, then use the 360 SDK compiler to build that, right? If that's the case, I think it'd be a better option than to use LLVM to directly generate XEXs, and you won't give the TCR guys fits (I checked the BAS TCRs, none of them say you can't do that, but the

Hello, I'm trying to analyse data from an incomplete design with four factor : - fr : number of the batch - op : ID of operator - meth : method used - mat : nature of the material used and one variable - mv : mesure - trmv : transformed mesure str(matvol) `data.frame': 120 obs. of 6 variables: $ fr : Factor w/ 30 levels "1","2","3","4",..:

this is a clearer (I hope) version of an earlier post - My problem is formulating the random = argument to give estimates of all 9 random components for this kind of setup where there are (I think) 9 variance/covariance components ... Study.1 Study.2 ... Study.5 Treatment T1: subject: 1 2 3 4 5 6 ... 13 14 15 Treatment T2: subject: 16 17

On Thu, Dec 29, 2016 at 05:44:50PM +0100, Giulio Teslano wrote: > a. What other types of extended wild card(s) options are there ? > > or is this still currently limited to these two characters '*?' ? As I said, the branch "adds support for arbitrary glob-style wildcard patterns (where * matches 0 or more characters and ? a single

Hello, We have Xapian-Omega installed (Linux) and working in default mode and have browsed several interesting pages on the main site, at trac.xapian.org (the wiki) and in the mailing list. Having tested various search options (up to now only for Omega) we would like to ask a couple of questions. 1. Is it possible to search for Patterns of Text with Omega and/or Xapian Queries ?

Greetings, I have a meta-analysis problem in which I have fixed effects regression coefficients (and estimated standard errors) from identical models fit to different data sets. I would like to use these results to create pooled estimated regression coefficients and estimated standard errors for these pooled coefficients. In particular, I would like to estimate the model \beta_{i} = \mu +

To Olly Betts: Thank you very much for any feedback. I apologise for this belated reply and also for the fact that the text of the previous posting appeared fragmented, due to its fixed chars/line format. With reference to: > Can, or could, one construct a query so that Omega (Xapian) can handle > this ? > > ... perhaps with some type of Regex ? > > It would seem

I am working on minimization of sum of squared errors for a problem that has 2 box-constrained parameters. I got the solution for this problem using "L-BFGS-B" method in optim function using an R code as res<-optim(par=c(parInit), fn=myFunction, method = c("L-BFGS-B"), lower = parMin, upper = parMax,

Hi folks, I'm setting up a new dovecot email service and have a proxy server running in front of it to facilitate migrating users from my very old UW-IMAP-based mail server to the new one. I have a mysql proxy table that directs inbound IMAP and LMTP connections to the correct server, works great. Managesieve connections are not working through the proxy using either with the sieverules