similar to: New package for general-purpose global optimisation: "soma"

https://bugs.freedesktop.org/show_bug.cgi?id=98577 Bug ID: 98577 Summary: Graphical issues with the game SOMA Product: Mesa Version: git Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component: Drivers/DRI/nouveau Assignee: nouveau at

-------- --Multipart_Thu_Apr__8_13:33:51_1999-1 Content-Type: text/plain; charset=US-ASCII Hello guys, I always wondered why smbclient keeps timestamp in `put'ting a file but does not keep it in `get'ting a file. Alternative to keep the time stamp in `get'ting file is to use -Tc option or smbtar script, but they are a bit hairy for interactive use, and it can only dump files with an

I am using numerical optimization to fit a 1 parameter model, in which the input parameter is bounded. I am currently using optimize(), however, the problem turns out to have local minima, and optimize does not always seem to find the global minimum. I could to write a wrapping function that tries multiple intervals or starting values, but I would prefer a package that has built-in methods to make

Hi Everyone, The following feature request was received by a Debian user; could you comment on it? I think this seems reasonable, but perhaps should be enabled only conditionally (as if the argument parser isn't stressed enough). Thanks, Justin On Fri, Jul 23, 2004 at 05:09:09PM -0300, Pedro Zorzenon Neto wrote: > Package: rsync > Version: 2.6.2-2 > Severity: wishlist > Tags:

I'm using 3.0.24 with patches from http://us4.samba.org/samba/patches/. On my XP client the print services for Unix are installed, I shared the local printer named 'jet' on the XP client to all users and the connecting user is an existing user on linux (system and samba user) and XP. I cannot execute the dir command in smbclient for this printer: deveis # smbclient -Utb%password

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

All, I am looking for an optimization library that does well on something as chaotic as the Schwefel function: schwefel <- function(x) sum(-x * sin(sqrt(abs(x)))) With these guys, not much luck: > optim(c(1,1), schwefel)$value [1] -7.890603 > optim(c(1,1), schwefel, method="SANN", control=list(maxit=10000))$value [1] -28.02825 > optim(c(1,1), schwefel, lower=c(-500,-500),

All, I am looking for an optimization library that does well on something as chaotic as the Schwefel function: schwefel <- function(x) sum(-x * sin(sqrt(abs(x)))) With these guys, not much luck: > optim(c(1,1), schwefel)$value [1] -7.890603 > optim(c(1,1), schwefel, method="SANN", control=list(maxit=10000))$value [1] -28.02825 > optim(c(1,1), schwefel, lower=c(-500,-500),

Hi! I have a setup with several Linux machines running samba-3.0.22-10.1.17 (from SuSE 10 OSS), authenticating against an AD. Since one of the machines is exporting an NFS share mounted by the rest of the machines, I need SID <-> uid/gid mapping to be shared between all Linux machines, which led me into using an OpenLDAP server as idmap backend. My smb.conf is found at the end of this mail.

Dear R Community, I am trying to optimize a water quality model that I am using. Based on conversations with others more familiar with what I am doing I plan to implement DEOptim to do this. The water quality model is interfaced through a GUI. I have the input file necessary to alter parameters and run the model as a text file. To do the optimization I have figured out the general procedure

I am trying to figure out how parameters are defined in a function that is used by DEOptim. That is, when I set upper and lower bounds for DEOptim how does it know which element of the function to apply those bounds to? For example, in DEOptim call below, when DEOptim goes into "optimfxn" how does it know what element of "optimfxn" to apply the upper and lower bounds to?

(the same mail was sent to the author) When I called the function DEoptim with control=list(strategy=1) or control=list(strategy=2) I got the error: Error in mui[rtd + 1, i] : incorrect number of dimensions Analysis of the source code of the DEoptim reveals the following fragment if (con$strategy > 5) st <- con$strategy - 5 ## binomial crossover else { st <-

Pessoal, estou tentando utilizar o programa aqui da empresa com wine, ai d? o seguinte erro C?digo: rafael@notebook:~/Soma$ wine soma fixme:imm:ImmReleaseContext (0x10020, 0x7fd59e90): stub fixme:win:SetLayeredWindowAttributes (0x1002a,0xff00000f,255,1): stub! err:ole:CoGetClassObject class {88d969c0-f192-11d4-a65f-0040963251e5} not registered err:ole:create_server class

Hi R-Core, i am using nnet and DEoptim, Xcc=matrix(rnorm(100,0.5,0.08),50,2) Ycr=matrix(rnorm(50,0.2,0.05),50,1) pred_regm1 <- function(A) { A1=A[1] A2=A[2] A3=A[3] regm1 <- nnet(Xcc,Ycr,entropy=T,size=A1,decay=A2,maxit=2000,trace=F,Hess=T,rang=A3,skip=T) dif=sum((predict(regm1,Xcc)-Ycr)^2) return(dif) } somar=DEoptim(pred_regm1,c(1,0.00001,0.01), c(25,0.999,0.95),

Function DEoptim in package DEoptim for differential evolution defines an optional parameter fnMap: fnMap "an optional function that will be run after each population is created, but before the population is passed to the objective function. This allows the user to impose integer/cardinality constriants." Unfortunately, there is no further documentation decribing the kind of

Hi, I am new in R and I don?t know how to sum the product of two elements at the time in a matrix X=[ 1 5 9 13 2 6 10 14 3 7 11 15 4 8 12 16] I would like to do (1*5+2*6+3*7+4*8) I need to do it step by step because I will further put a conditional in the formula It worked this way x <- matrix ( c (1 : 16),ncol = 4) #generating my x matrix qw <- matrix (0,

I have defined a function with several arguments and have it stored in the .RData file. The 'function head' is defined as follows EstimALIConc <-function(sdname,SZ,W,farea,watri,biomodel,start.part=1,nparts=20,method=c("optim","DEoptim")) { [ blah-blah-blah ] (function body doesn't matter) } Then I call Rscript: e:> rscript --restore -e

Dear R users, How to find all single minima within each next part of analyzed vector (table) Select all minima (mass_value=min & mass_value<2) (many) in vector(table), BUT first put mask on table in order to select within one window mask (5 elements) only one local minimum, and next to search within the next time window mask the second minimum (only one local along second mask)

On Wed, 2018-01-03 at 13:50 +0530, Sudarshan Soma wrote: > HI, I do see some refernce on it: but seems not closed > https://marc.info/?l=secure-shell&m=115513863409952&w=2 > > http://bugzilla.mindrot.org/show_bug.cgi?id=1215 > > > Is this patch available in latest versions, 7.6? No. It never was. The SSSD is using NSS (Name Service Switch) [1] way of getting