similar to: Vector of functions

Since in Linux we are mostly a debian shop we''d like to stick with debian for our calculation nodes if possible. So I wanted to ask the lustre 2.2 instructions for Debian are they more or less relevant to lustre 2.4/2.5 or am I going headlong into a tall brick wall. Also are newer clients backwards compatible with older server software? I am currently just setting up a demo environment

Dear all, We seem to have found a "strange" behaviour in the hyperbolic tangent function tanh on Windows. When running tanh(356 + 0i) the Windows result is NaN + 0.i while on Mac the result is 1 + 0i. It doesn't seem to be a floating point error because on Mac it is possible to run arbitrarily large numbers (say tanh(

For a while I have been getting that the complex tests fails on RHEL 6. The specific issue has to do with tanh (see below for full output from complex.Rout.fail). This is both with the stock compiler (GCC 4.4.7) and a compiler supplied through the conda project (GCC 4.8.5). The compiler supplied through conda ends up linking R to certain system files, so the binary is not completely independent

For future reference: https://sourceforge.net/p/mingw-w64/mailman/message/35747206/ On Wed, Mar 22, 2017 at 2:12 PM, Jeroen Ooms <jeroenooms at gmail.com> wrote: > This looks like a bug in mingw-w64 CRT. The problem can be produced > with C++ without R: > > #include <iostream> > #include <cmath> > #include <complex> > > int main(){ >

I tried to reproduce a result from a former colleague which he got with S-plus bootstrap method. I don't have S-plus at hand. In R, there are 2 packages related to bootstrap method, bootstrap and boot. The former has a function called 'bootstrap' but this does not seem to conform either to the function used in S-plus nor to that described in MASS, 3d ed., p.144. The latter seems to be

Thanks. I assume there is no way to control this via. environment variables or configure settings? Obviously that would be great for something like this which affects tests and seems to be a known problem for older C standard libraries. Best, Kasper On Thu, May 4, 2017 at 9:12 AM, Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > > As a quick fix, you can undefine HAVE_CTANH

Why fails nls with "singular gradient" here? I post a minimal example on the bottom and would be very happy if someone could help me. Kind regards, ########### # define some constants smallc <- 0.0001 t <- seq(0,1,0.001) t0 <- 0.5 tau1 <- 0.02 # generate yy(t) yy <- 1/2 * ( 1- tanh((t - t0)/smallc) * exp(-t / tau1) ) + rnorm(length(t))*0.01 # show the curve

On Tuesday 17 February 2009 09:46:07 Duncan Sands wrote: > Hi, > > > Lennart Augustsson mentioned on his blog that he got substantial > > performance improvements by conveying to LLVM when external functions > > (e.g. tanh) were pure. > > first note that tanh is not pure, because the result depends on the current > floating point rounding mode. Ugh. > However,

Hi everyone, I noticed today that LLVM's constant folding of math library functions can lead to minor differences in results. A colleague sent me the following test case which demonstrates the issue: #include <stdio.h> #include <math.h> typedef union { double d; unsigned long long i; } my_dbl; int main(void) { my_dbl res, x; x.i = 0x3feeb39556255de2ull; res.d =

Lennart Augustsson mentioned on his blog that he got substantial performance improvements by conveying to LLVM when external functions (e.g. tanh) were pure. How is this done? -- Dr Jon Harrop, Flying Frog Consultancy Ltd. http://www.ffconsultancy.com/?e

Thanks for the report, handled in configure in 72661 (R-devel). I'll also port to R-patched. Best Tomas On 05/04/2017 03:49 PM, Tomas Kalibera wrote: > > There is no way to control this at runtime. > We will probably have to add a configure test. > > Best, > Tomas > > On 05/04/2017 03:23 PM, Kasper Daniel Hansen wrote: >> Thanks. >> >> I assume there

Thanks, Hal. I hear what you are saying about the accuracy. The problem, from my perspective, is trying to explain to users what they are going to get. The constant folding may be as accurate as the lib call would have been, but it isn't necessarily value safe. I've been operating on the assumption that LLVM's FP optimizations are value safe unless fast math flags are used. For the

Hi, > Lennart Augustsson mentioned on his blog that he got substantial performance > improvements by conveying to LLVM when external functions (e.g. tanh) were > pure. first note that tanh is not pure, because the result depends on the current floating point rounding mode. However, if you are willing to sacrifice complete numerical correctness, you can give llvm-gcc the -ffast-math

Does anyone have code that will methodically process R sourcecode, turning T's into TRUE and F's into FALSE? I got bored doing this by hand, after the first 30-odd functions-- there are hundreds left to do. I don't want to simply deparse everything, because that would destroy my beautiful formatting. The reason it's not trivial, is that comment lines, quotes, and split lines need

On 4/16/19 4:18 PM, Amara Emerson wrote: On Apr 16, 2019, at 1:47 PM, Kaylor, Andrew via llvm-dev <llvm-dev at lists.llvm.org<mailto:llvm-dev at lists.llvm.org>> wrote: Thanks, Hal. I hear what you are saying about the accuracy. The problem, from my perspective, is trying to explain to users what they are going to get. The constant folding may be as accurate as the lib call would

I'd like to draw a lattice plot with groups. The groups (the grouping condition, fns) are successfully marked with separate symbols, using the following code: xyplot(T~A|speaker,groups=fns,pch=1:3,key=list(space="right",points=list(pch=1:3)),type=c("g","p","r")) Here's a hard part. This draws regression lines for each group in each panel (there are

The file src/share/replaygain_synthesis/include/private/fast_float_math_hack.h redefines 'tanh' as 'tanhf'. This file is intended for Intel Compiler only, but it includes outdated mathf.h and doesn't work with current versions of ICC. The fixes are trivial though, and I compiled 2 versions of flac.exe: with this 'hack' turned off an on. The difference in decoding speed

I want to run some R script using the inline package (which allows to create and run inline C++ code in my humble understanding). So, after loading the required packages and copy and paste the example that runs C code (in the Reference Manual as a PDF), I have a compilation error. Any body has ever tried this inline package? -- View this message in context:

Hi all, I started to ask this in the other post, but it is off topis...so here it is again. I have a data.frame (created with the helpof this mail list) that looks like this : 'data.frame': 22801 obs. of 15 variables: $ V1 : chr "HUMUS" "SLABO" "MALO" "SLABO" ... $ V2 : chr "IN" "GRANULIRAN"

I would appreciate please a suggestion on how to do the following : i'm working with a dataframe in R that contains in a specific column multiple gene names, eg : > df.sample.gene[15:20,2:8] Chr Start End Ref Alt Func.refGene Gene.refGene284 chr2 16080996 16080996 C T ncRNA_exonic GACAT3448 chr2 113979920 113979920 C T ncRNA_exonic LINC01191,LOC100499194465