search for: maximises

I have been dabbling with getting some of our Windows applications running under Linux using the CodeWeavers preview 20010629. I am making good progress and am very pleased with the results. However I am currently stuck on one problem. The Windows software is developed using Borland Delphi and the application includes a number of forms that are intended to be displayed full screen. The

I want to run s7raw on Kubuntu fiesty http://www.geocities.co.jp/SiliconValley-PaloAlto/9919/s7raw.html It is a small single .exe program that can be run in windows without installing. I first installed the version of wine in the ubuntu repos and have since upgraded to the most recent version available in the winehq repos but get the same problem with both versions. I have managed to get

Hi Everyone We would like to connect our Splicecom Maximiser PBX to our Asterisk box via H323 so that we can send our US calls via a low cost carrier (e.g. Broadvoice). Has anyone managed to do this in the past (I remember seeing some companies also worked with this system in the UK). The Maximiser only speaks H323 (not SIP) and can act as an H323 Gatekeeper, so in theory we should just be

Hi I've got 'WriteOutloud' (talking wordprocessor for dyslexic children) working pretty well on an Asus Eeepc (Xandros) and on an Acer Aspire One (Kuki Linux) I'm using Wine 1.0.1 on both machines. What happens is that the prog starts up normally then immediately minimises to the taskbar. To make it run fullscreen you have to click on it and press Alt+F10 Although not a serious

I'm maximising a reasonably complex function using nlme (version 3.1-65, have also tried 3.1-66) and am having trouble with fixed parameter estimates slightly away from the maximum of the log likelihood. I have profiled the log likelihood and it is a parabola but with sum dips. Interestingly changing the parameterisation moves the dips around slightly. Unfortunately the PNLS step is

OS: Arch Linux (64-bit) (fully updated) GFX Card: Geforce 8800GT (driver version irrelevant - had problem for a year) WM: Openbox Problem: Whenever I minimise WoW, the fps drops to sub-10. I can solve this by minimising and maximising the window again, but if I wait too long after minimising, it doesn't always work. Also, if I minimise it by accident too many times, it also doesn't work.

Moi! I have a problem where I want to find the ML estimate of a discrete parameter. I just want a function like optim that finds the max/min value for a function. Does anyone know of such a function for R? Thanks. Bob -- Bob O'Hara Rolf Nevanlinna Institute P.O. Box 4 (Yliopistonkatu 5) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 23743 Mobile: +358 50 599 0540 Fax:

https://bugs.freedesktop.org/show_bug.cgi?id=33999 Summary: 2.6.37 - NV11 crashes X if glxgears maximised Product: xorg Version: unspecified Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at

Dear R Users: The functions of our "micEcon" package [1,2] can be subdivided into three categories: - microeconomic demand and firm models - sample selection models (mainly selection()) - routines for (likelihood) maximisation (e.g. maxLik(), maxNR(), maxBHHH()) (mainly used for ML estimation of sample selection models) Although sample selection models are often used in

...'pool' these distributions and determine which expression for the parameters would be most likely to produce the sample of observed negative binomial counts (determine the MLE). This maximisation involves a search in five-dimensional parameter space {?: ?1,?2, ?1, ?2, P} for the vector that maximises the likelihood as evidenced by the first and second derivatives of the function being zero. The likelihood is L(?) = ?ij {P f (Nij; ?1, ?1, Eij) + (1-P) f (Nij; ?2, ?2, Eij)} This involves millions of calculations. The computational procedures required for these calculations are based on the Newton...

Hi guys, # I would like to plot a figure with the following layout: # # ---------------------------- # | | | # | | | # | | | # | |--------| # | | | # | | | # | | | # ---------------------------- x <- rnorm(100) y <- rnorm(100)

Hello, how are writes distributed as the free space within a pool reaches a very small percentage? I understand that when free space is available, ZFS will batch writes and then issue them in sequential order, maximising write bandwidth. When free space reaches a minimum, what happens? Thanks! :) -- Regards, Jeremy

Hi, I'm testing out ceph_vms vs a cephfs mount with a cifs export. I currently have 3 active ceph mds servers to maximise throughput and when I have configured a cephfs mount with a cifs export, I'm getting a reasonable benchmark results. However, when I tried some benchmarking with the ceph_vms module, I only got a 3rd of the comparable write throughput. I'm just wondering if

CAON Takes New Direction. Investors Are All Over It! Chan-On International Inc. Symbol: CAON Close: $0.72 UP 4.35% Volume Jumped through the roof today as CAON announced it has changed its direction and acquired Harbin Hongbo, as wells as its 12 patients for environmentally safe construction materials. Investors are already seeing the potential. We expect great things from CAON with big news

Hi, I have a quick question regarding estimation of a truncation regression model (truncated above at 1) using MLE in R. I will be most grateful to you if you can help me out. The model is linear and the relationship is "dhat = bhat0+Z*bhat+e", where dhat is the dependent variable >0 and upper truncated at 1; bhat0 is the intercept; Z is the independent variable and is a uniform

I have a short script (below) which I use to launch my program (Campaign Cartographer 3). If I run this from the terminal, I have no problems but if I attach it to a launcher on the panel then as soon as I move the mouse into the window, it closes down without any error popping up - but *only* if the program runs in a maximised window; if I start the program in a smaller than maximised

I''m looking for a R function which can maximise this logliklihood function, under the constraits a>0 e b>0 f<-function(param){ a<-param[1] b <-param[2] log(prod)-(a*s2)-(b*s)-n*log(1-((0.5*b/sqrt(a))*(exp((b^2)/(4*a)))*((sqrt(pi ))*(1-pnorm(-b/(2*sqrt(a)), mean=0, sd=1)))))} I''ve tried maxlik constrOptim e donlp2 but without success. Thanks so

Although, I can fix this, I am trying to sort out something as straighforward as possible for my students, and I have some questions that hopefully someone can help me with. My data is: Species Distance Count A 5 0 A 10 5 A 15 5 A 20 3 A 25 1 B 5 8 B 10 20 B 15 28 B 20 12 B 25 12 C 5 5 C 10 12 C 15 19 C 20 27 C 25 34 But I am struggling to get this into a data frame that does

On 26 April 2017 at 13:16, Steven Tardy <sjt5atra at gmail.com> wrote: > >> On Apr 26, 2017, at 2:58 AM, Nicolas Kovacs <info at microlinux.fr> wrote: >> >> The site is rated "C" > > The RHEL/CentOS out-of-the-box apache tls is a little old but operational. This Mozilla resource is excellent for getting apache tls config up-to-date. > >

Dear All I have a constrained optimisation problem, I want to maximise the following function t(weights) %*% CovarianceMatrix %*% weights for the weights, subject to constraints on each element within the weights & the weights vector summing to 1. i.e. weights = (x1, x2, x3), where x1 is within some given range (a +b, a - b). I have tried to do this using the optim function in R,