similar to: optim question

With some chagrin after spending a couple of hours trying to debug a script, I realized I had typed in something like ans<-optimx(start, myfn, mygr, lower<-lo, upper=up) that is, the "<-" rather than "=". The outcome on my machine was a non-obvious error several layers deep in the call stack. For info, optim() seems to stop much more quickly. The error is

Hi, Does anyone know if there is any existing code I can use to do a loop-carried dependence analysis for LLVM IR programs? I searched the mailing-list archive and it seems like someone planned to implement a loop dependence analysis pass in March. I'm just wondering if this project is ongoing/finished or if there is other projects that may have the code I'm interested in. Thanks!

Hi Wenhao Jia, On Wed May 13 16:30:36 +0200 2009, Wenhao Jia wrote: > Does anyone know if there is any existing code I can use to do a > loop-carried dependence analysis for LLVM IR programs? I searched the > mailing-list archive and it seems like someone planned to implement a > loop dependence analysis pass in March. I'm just wondering if this > project is ongoing/finished or

Hi, Does anyone know any tool that can help generate a control/data flow graph (CDFG) for LLVM IR programs? The opt -view-cfg and related commands can visualize a program as a control flow graph. But how can I embody data flow information into that graph? Your help will be greatly appreciated! Thanks, Wenhao Jia -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear R users When I use OPTIM with BFGS, I've got a significant result without an error message. However, when I use OPTIMX with BFGS( or spg), I've got the following an error message. ---------------------------------------------------------------------------------------------------- > optimx(par=theta0, fn=obj.fy, gr=gr.fy, method="BFGS", >

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and

Dear R-help members Since this morning (5/2/2025), I get an error when I try to load optimx package. I solve it and I send my solution but if someone has a better idea or understand what's happened, I will be most happy to know. MacOSX 15.3 R 4.4.2 nlopt installed using brew install nlopt Here are the steps to produce the error and a solution to solve it. Some parts are in French. I

Hi, That looks like the dependency on nlopt for nloptr (used by several of the solvers) was somehow missing. There is SUPPOSED to be a check of what is installed and a warning issued, but possibly one got missed. Even some base packages do sometimes need the external libraries manually installed, and I find I'm doing that after various OS updates or resets when the long term support runs out.

Dear R users I am trying to use OPTIMX(OPTIM) for nonlinear optimization. There is no error in my code but the results are so weird (see below). When I ran via OPTIM, the results are that Initial values are that theta0 = 0.6 1.6 0.6 1.6 0.7. (In fact true vales are 0.5,1.0,0.8,1.2, 0.6.) -------------------------------------------------------------------------------------------- >

Hi John, My project is somewhat inbetween, but closer to the latter. If you are doing something related to synthesis, have you checked xPilot from UCLA? Search "llvm" in this paper <http://www.icims.csl.uiuc.edu/~dchen/xpilot-TechCon2005.pdf> Anyway, thanks for the information! :-) Wenhao On Tue, Mar 3, 2009 at 6:30 AM, <llvmdev-request at cs.uiuc.edu> wrote: > >

Dear all, this is my first time, and just begin to use R. But I've a question about optimization using optimx library. It could sound stupid by I'm a bit affraid with the problem, because anything I try, anything Error. The procedure was: optimx(par="10,71,1",fn=(Prey*Provisioning)/Risk, control=list("maximize)) well the problem lies in the initial value parameters, again

Good afternoon everybody, I'm quite new in functions optimization on R and, whereas I've read lot's of function descriptions, I'm not sure of the correct settings for function like "optimx" and "nlminb". I'd like to minimize my parameters and the loglikelihood result of the function. My parameters are a mean distance of dispersion and a proportion of

This is mainly a reminder to others developing R packages to be careful not to supply control list items that are not used by the called package. Optimx is a wrapper package that aims to provide a common syntax to a number of existing optimization packages. Recently in extending optimx package I inadvertently introduced a new control for optimx which is NOT in any of the wrapped optimization

Prof Nash, Prof Galanos Is it possible to use a generic code stub in front of packages that use optimx to improve optimx use or curtail it according to the requirements? Best Regards Amit +91 7899381263 ________________________________________________________________________ Please request Skype as available 5th Year FPM (Ph.D.) in Finance and Accounting Area Indian Institute

I'll not copy all the previous material on this thread to avoid overload. The summary is that all the methods Spencer has tried have some issues. The bad news: This is not uncommon with optimization methods, in part because the problems are "hard", in part because getting them implemented and linked to an interfacing approach like R is very tedious and prone to omissions and

Hello: The development version of Ecdat on R-Forge contains a vignette in which optim(?, method=?L-BFGS-B?) stops with an error message while violating the lower bound. To see all the details, try the following: install.packages("Ecdat", repos="http://R-Forge.R-project.org") Then do "help(pac=Ecdat)" -> "User guides, package

Hi, Mark et al.: Thanks, Mark. Three comments: 1. Rvmmin was one of the methods I tried after Ravi directed me to optimx. It returned NAs for essentially everything. See my email of this subject stamped 4:43 PM Central time = 21:43 UTC. 2. It would be interesting to know if the current algorithm behind optim and optimx with

In re-factoring my optimx package, I'm finding that the pdf output has some lines that are outside the margins (and there are warnings in R CMD check optimx). Clearly I can fix this by editing the tex file that is generated, but the build infrastructure would still get things wrong in automatic processing. So that gives rise to 3 questions: 1) How do I adjust the DESCRIPTION file to avoid too

I have not included the previous postings because they came out very strangely on my mail reader. However, the question concerned the choice of minimizer for the zeroinfl() function, which apparently allows any of the current 6 methods of optim() for this purpose. The original poster wanted to use Newton-Raphson. Newton-Raphson (or just Newton for simplicity) is commonly thought to be the

Hi everyone, I'm adding loop profiling to LLVM built-in profiler. I'm just wondering in a class that's not a pass, such as ProfileInfoLoader, how can I get information produced by passes such as LoopInfo and DominatorTree? In other words, ProfileInfoLoader is not a pass, so it can't call AnalysisUsage::addRequired and AnalysisUsage::getAnalysisUsage directly. Then how can it know