similar to: Optimization problem

Displaying 20 results from an estimated 1000 matches similar to: "Optimization problem"

2010 Feb 16
1
Does the R "statistical language includes modules/packages to carry out nonlinear optimization similar to the SAS NLIN and NLP procedures?
Hello R folks, I'm hoping the answer to the question in the subject line. I have in the past used SAS PROC NLIN and PROC NLP to carry out nonlinear optimizations. I'm wondering if there is analogous ways for doing this using R. If so, could someone please point me to some literature that would help me examine this further? Thanks very much. [[alternative HTML version deleted]]
2005 Jul 14
2
Fwd: Re: East Asian language
---- Original message ---- >Date: Thu, 14 Jul 2005 19:50:41 +0200 >From: Uwe Ligges <ligges at statistik.uni-dortmund.de> >Subject: Re: [R] East Asian language >To: Nan Lin <nlin at math.wustl.edu> >Cc: r-help at stat.math.ethz.ch > >Nan Lin wrote: > >> Dear all, >> >> I just installed R 2.1.1. The installation program automatically
2004 Oct 07
1
confidence interval for nls
Do I have the right impression that it's currently not possible to produce confidence intervals for the nls predictions using R? I had a course were we used SAS PROC nlin and there you could get intervals for the parameters and the prediction but I do not have access to SAS. Would it be difficult to implement, I tried to dig into the help pages of nls, vcov and nlsModel but I could not
2005 Apr 17
1
nls segmented model with unknown joint points
Hello, I am interested in fitting a segmented model with unknown joint points in nls and perhaps eventually in nlme. I can fit this model in sas (see below, joint points to be estimated are a41 and a41), but am unsure how to specify this in the nlm function. I would really appreciate any suggestions or example code. Thanks a lot. -andy proc nlin data=Stems.Trees; params b41=-3 b42=1.5
2009 Aug 06
0
donlp2
Dear Sir, I am working with one example in R donlp2. How I can get the Hessian matrix from the output. p = c(10,10) par.l = c(-100,-100) par.u = c(100,100) nlin.l = nlin.u = 2 fn = function(x) { x[1]^2+x[2]^2 } dfn = function(x){ c(2*x[1], 2*x[2]) } attr(fn, "gr") = dfn nlcon = function(x){ x[1]*x[2] } dnlcon = function(x){ c(x[2], x[1]) } attr(nlcon, "gr") = dnlcon
2007 Jan 16
1
nonlinear regression: nls, gnls, gnm, other?
Hi all, I'm trying to fit a nonlinear (logistic-like) regression, and I'd like to get some recommendations for which package to use. The expression I want to fit is something like: y ~ A * exp(X * Beta1) / (1 + exp(-(x + X * Beta2 - xmid)/scal)) Basically, it's a logistic function, but I want to be able to modify the saturation amplitude by a few parameters (Beta1) and shift the
2010 Sep 05
0
cov.unscaled in NLS - how to define cov.scaled to make comparable to SAS proc NLIN output - and theoretically WHY are they different
I am running a 3-parameter nonlinear fit using the default Gauss-Newton method of nls. initialValues.L = list(b=4,d=0.04,t=180); fit.nls.L = nls( myModel.nlm , fData.L, start = initialValues.L, control = nls.control(warnOnly = TRUE), trace=T ); summary.nls.L = summary(fit.nls.L); I run the same analysis in SAS proc NLIN. proc nlin data=apples outest=a; parms b=4 d=.04 t=180; model Y =
2011 Jan 27
4
[LLVMdev] recreate optimized clang output
On 26.01.2011, at 04:39, John McCall wrote: > On Jan 24, 2011, at 10:36 AM, Hendrix_ at gmx.net wrote: >> I was using "clang -O3 -S -emit-llvm" got some very optimized output. >> >> Then I did "clang -S -emit-llvm" (without optimization) and wanted to optimized the code in a >> separate pass. The llvm program "opt" did not do anything.
2011 Jan 27
0
[LLVMdev] recreate optimized clang output
On Jan 27, 2011, at 12:02 PM, Hendrix_ at gmx.net wrote: > OK, I am looking for "LTO"/global optimization. So the function definition will remain "somewhere else" (externally), and the optimizer will find in some other module to possibly inline it later on. > > I am planning to concat all the *.ll (eg "link" the files) and pass them to the
2009 Jan 17
2
data.frame: how to extract parts
Hi, I have a problem with the R syntax. It's perhaps pretty simple, but I don't understand it ... I can extract a column from a data.frame with the following code for example ... b$row1[b$row1 == "male"] so I see all male-entries. But I cannot extract all lines of a data.frame depending on this criterium; only.male <- b[b$row1 == "male"] With that, I
2010 Feb 17
0
Does the R "statistical language includes, > modules/packages to carry out nonlinear optimization similar to the, > SAS NLIN and NLP procedures?
There is also the OptimizeR project on R-forge http://r-forge.r-project.org/R/?group_id=395. Other related projects are there also, but I'll let their authors speak for themselves. Stefan Theussl did a good job in the Task View, but it is from last June, and it would be a monumental effort to keep up to date with all the work going on. We're "almost" ready to put some of our
2018 Jan 29
2
send specific NDR message for users in certain OU
Hi, The question can perhaps be made more generic like this: Can dovecot generate a *specific* NDR (or an autoreply) for accounts that meet a specific criterium, such as: - user account was found under OU=to-delete,CN=company... contrary to the regular location CN=Users,CN=company... We would like to move to-be-deleted users to this container, before actually deleting them. That gives us an
2007 Oct 22
3
Elasticity in Leslie Matrix
Dear R-users, I would like to calculate elasticities and sensitivities of each parameters involved in the following transition matrix: A <- matrix(c( sigma*s0*f1, sigma*s0*f2, s, v ), nrow=2, byrow=TRUE,dimnames=list(stage,stage)) The command "eigen.analysis" avaliable in package "popbio" provides sensibility matrix and elasticity matrix
2007 Apr 23
3
Link AD to pre-existing UNIX accounts
I'm trying to use winbindd to enumerate and link AD users to their pre- existing UNIX accounts. Right now, winbindd creates new "users" for UNIX based on windows username and groups. What I can't figure out is how to explicitly map the AD users to their pre- existing UNIX accounts. I'd like the users to be able to access their UNIX accounts with their UNIX authentication
2011 Jan 27
2
[LLVMdev] recreate optimized clang output
On 27.01.2011, at 21:12, Devang Patel wrote: > > On Jan 27, 2011, at 12:02 PM, Hendrix_ at gmx.net wrote: > >> OK, I am looking for "LTO"/global optimization. So the function definition will remain "somewhere else" (externally), and the optimizer will find in some other module to possibly inline it later on. >> >> I am planning to concat all the
2000 Mar 29
2
regularly lattice & neighbors
Dear R-users, Is there a procedure to identify neighbors in a regular lattice using either a "rook" or a "queen" criterium? To be more specific, suppose: My lattice: 1 2 3 4 5 6 7 8 9 "Rook" Neighbors 1 has neighbors 2,4 2 has neighbors 1,3,5 ... 5 has neighbors 2,4,6,8 "Queen Neighbors" 1 has neighbors 2,4,5 2 has neighbors 1,3,4,5,6 For each case,
2006 Jan 10
5
matching country name tables from different sources
Hi, Before I reinvent the wheel I wanted to kindly ask you for your opinion if there is a simple way to do it. I want to merge a larger number of tables from different data sources in R and the matching criterium are country names. The tables are of different size and sometimes the country names do differ slightly. Has anyone done this or any recommendation on what commands I
2009 Apr 06
2
GarchOxFit output
Dear Sirs, I have a problem with the garchOxFit output. I want to display only the value of max.like.est and the information criteria. How can I do that; I enclose a part of GarchOxFit output, which is what I want to display. Best regards, Vasilios Ismyrlis GarchOxFit output No. Observations : 1000 No. Parameters : 2 Mean (Y) : -0.05511 Variance (Y) : 1.06869
2011 Jan 27
1
[LLVMdev] recreate optimized clang output
On 27.01.2011, at 21:12, Devang Patel wrote: > > On Jan 27, 2011, at 12:02 PM, Hendrix_ at gmx.net wrote: > >> OK, I am looking for "LTO"/global optimization. So the function definition will remain "somewhere else" (externally), and the optimizer will find in some other module to possibly inline it later on. >> >> I am planning to concat all the
2006 Feb 23
1
Which Quad Port FXO is Best?
I'm looking to handle 3 PSTN lines with my Asterisk server. I have a Digium TDM22B and Sipura 3000. The Sipura works great, but the TDM22B seems to have terrible problems with my board---virtually all peripherals need to be disabled in BIOS, and then there is terrible noise, terrible silence and virtually no ability to use DTMF in IVRs. I really wish the TDM22B worked, because I much