similar to: two-dimensional integration?

I need to compute a high dimensional integral. Currently I'm using the function adapt in R package adapt. But this method is kind of slow to me. I'm wondering if there are other solutions. Thanks. Zhongwen -- View this message in context: http://www.nabble.com/functions-for-high-dimensional-integral-tp17702978p17702978.html Sent from the R help mailing list archive at Nabble.com.

Dear All, There is one problem I encountered when I used ADAPT to compute some 2-D integral w.r.t beta density. For example, when I try to run the following comments: fun2<-function(theta){return(dbeta(theta[1],0.005,0.005)*dbeta(theta[2],0.005,0.005))} int.fun2<-adapt(ndim=2,lo = c(0,0), up = c(1,1),functn = fun2,eps = 1e-4) It seems it will take very long time to run. Acturally, I

Hi Daniel, Thanks for replying; I was hoping to get in touch with you on this issue. I had a look at how SelectionIDAG does it when generating the matcher table, and it does consider the implicit defs as additional output. Here is the match table generated for the pattern: /* 0*/ OPC_CheckOpcode, TARGET_VAL(ISD::SIGN_EXTEND), /* 3*/ OPC_MoveChild0, /* 4*/ OPC_CheckOpcode,

Hello, Have you seen the log-linear prediction of the 100m winning time in R mailed to the list yesterday by David Smith, subject Revolutions Blog: July roundup? "A log-linear regression in R predicted the gold-winning Olympic 100m sprint time to be 9.68 seconds (it was actually 9.63 seconds): http://bit.ly/QfChUh" The original by Markus Gesmann can be found at

Hi Dominik, Thanks for your reply. In my case, the Defs is the cause of the problem. Or rather, it is part of the problem, because when I remove it from the instruction TableGen gives me a different error message which concerns a part which is deeper into the pattern tree, so at least it is able to proceed beyond that part of the pattern. I have also stepped TableGen inside gdb and

Dear People, I'm trying to use the function adapt, from the adapt library package, which does multidimensional numerical integration. I think I must be using the wrong syntax or something, because even a simple example does not work. Consider foo <- function(x){x[1]*x[2]} and adapt(2, lo = c(-1,-1), up = c(1,1), functn = foo) This simply hangs. A more complicated example crashes R,

Hi, I am in the process of porting our target to GlobalISel, and have encountered a problem. Nearly all instructions in our instruction set make modifications to a CC register, and hence are defined as follows: let ..., Defs = [CCReg] in def shfts_a32_imm7: Instruction<(outs OurRC:$dst), ...>; What's more, many of these instructions have patterns where the instruction itself

Hi there. Thanks for your time in advance. I am using R 2.2.0 and OS: Windows XP. My final goal is to calculate 1/2*integral of (f1(x)^1/2-f2(x)^(1/2))^2dx (Latex codes: $\frac{1}{2}\int^{{\infty}}_{\infty} (\sqrt{f_1(x)}-\sqrt{f_2(x)})^2dx $.) where f1(x) and f2(x) are two marginal densities. My problem: I have the following R codes using "adapt" package. Although "adapt"

Can someone help me with the code I can use to extract word preceded by hash tag in live tweets download from twitteR. An example of what I require is: [[9]] [1] "HollandUKTrade: #Dutch companies striking Olympic gold at London 2012 http://t.co/XsvvXAzT #london2012 #olympics #sport @hollandtrade @dutchembassyUK" (Tweet download) I want a code that will extract this: #Dutch companies

[Env: R 2.14.2 / Win Xp] In the script below, I want to select some variables from rrcov::OsloTransect, delete cases with any missing data, and subset the data frame Oslo to remove cases for two levels of the factor litho that occur with low frequency. The checks I run on my new data frame Oslo look OK, but I when I try to fit a multivariate linear model with lm(), I am getting an error:

Hi there, This is the first time I have encountered such an error. Error loading r. I did forward the call to our desktop services, but I am just a bit curious on what the actual problem could be and how I could have resolved myself. OS is unix version 4. Not sure of the version of R... As its my first encounter. Kind regards Jerome Swartz

I am trying calculate a probability using numerical integration. The first program I ran spit out an answer in a very short time. The program is below: ## START PROGRAM trial <- function(input) { pmvnorm(lower = c(0,0), upper = c(2, 2), mean = input, sigma = matrix(c(.1, 0, 0, .1), nrow = 2, ncol = 2, byrow = FALSE)) } require(mvtnorm) require(adapt) bottomB <- -5*sqrt(.1) topB <-

I tried to integrate numerically a function wich is similar to the following: > dummy <- function(x) { exp(-1*x) * dnorm(x) } > dummy(-100) [1] 0 > dummy(-1000) [1] NaN > dummy(-10000) [1] NaN If I choose the lower boundary to be too small integrate causes a segmentation fault: > library(integrate) > integrate(dummy, -100, 0)$value [1] 1.387143 > integrate(dummy, -1000,

Dear all, May I do multiple integration using R? I was looking adapt but it is saying it integrates a scalar function over a multidimensional rectangle. I have integrand of several variable and upper, lower limit too variable. I wanted to see the result using adapt (though it is not for this purpose, I suppose) Func<-function(x){(x[1]*x[2])} adapt(2, lo=c(0,1), up=c(1,x[1]), functn=Func) it

Dear All, I have a function f(x,y,z)=exp(x^3+y^4+x^2*y+x*z^2+y/z) over D, where is D={ (x,y,z)| 0 <z<Inf, 0<y<c1*z, 0<x<c2*/y}. x,y,z are all vectors and c1 and c2 are constants. I tried the "adapt" package and I get some error. This is the error message: "Error in function (z, y, x) : argument "x" is missing, with no default" I included my R

Warnings about /metno/internweb/fouweb/htdocs/teknisk/verktoy/R/faq.html BAD LINK: http://stat.ethz.ch/R/manual/ BAD LINK: http://nlme.stat.wisc.edu/MEMSS/ BAD LINK: http://stats.mth.uea.ac.uk/Rcgi/ BAD LINK: http://software.biostat.washington.edu/statsoft/ess/ ------------------------------------------------------------ Warnings about

I have two machines, speed and mass. speed has a fast Internet connection and is running a crawler which downloads a lot of files to disk. mass has a lot of disk space. I want to move the files from speed to mass after they're done downloading. Ideally, I'd just run: $ rsync --remove-source-files speed:/var/crawldir . but I worry that rsync will unlink a source file that hasn't

Hi, If my previous reply is not persuasive enough. Let me do that in a different way. > From: linux-acpi-owner at vger.kernel.org [mailto:linux-acpi-owner at vger.kernel.org] On Behalf Of Zheng, > Lv > Subject: RE: [PATCH v2 5/5] ACPI: button: Obselete acpi_lid_open() invocations > > Hi, > > > From: Benjamin Tissoires [mailto:benjamin.tissoires at gmail.com] > >

Both nouveau and i915, the only 2 kernel space lid notification listeners, invoke acpi_lid_open() API to obtain _LID returning value instead of using the notified value. So this patch moves this logic from listeners to lid driver, always notify kernel space listeners using _LID returning value. This is a no-op cleanup, but facilitates administrators to configure to notify kernel drivers with

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