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> On Dec 5, 2024, at 4:11 PM, Sokol Serguei wrote:
>
> Luc,
>
> There can be many reasons explaining the difference in compiled code
> performances. Tuning such code to achieve a pick performance is generally a
> fine art.
> Optimizations techniques can include but are
Dirk,
that's indeed an easy way to go, but I'm searching for methods that doesn't
need to add other dependencies in my package, so the answer of Avraham is the
most relevant for me.
But off course, thank you for your help!
Luc
Van: Dirk Eddelbuettel
Verzonden
Hi. Thanks for the additional advice. It now works!
I only had to move the assignment of nloptr.methods outside the if(.) block in
the first chunk of code, otherwise the variable was undefined for the second
block. This issue only showed up when I tried the newly created package on a
machine w
Luc,
As Tomas mentioned, matrix-multiplication can take advantage of multiple
threads, and the 'text book' nexted loops do not do that. Now, one
alternative that appeals a lot to me is to farm out to Armadillo which also
calls LAPACK for you (as R does). And via RcppArmadillo, the setup becomes
Luc,
There can be many reasons explaining the difference in compiled code
performances. Tuning such code to achieve a pick performance is
generally a fine art.
Optimizations techniques can include but are not limited to:
- SIMD instructions (and memory alignment for their optimal use);
- ins
Thank you very much, Tomas, now it's clear and I'll see what to do with that
knowledge!
Luc
Van: Tomas Kalibera
Verzonden: donderdag 5 december 2024 14:39
Aan: Luc De Wilde ; r-package-devel@r-project.org
CC: Yves Rosseel
Onderwerp: Re: [R-pkg-devel]
On 12/5/24 14:21, Luc De Wilde wrote:
Dear package developers,
in creating a package lavaanC for use in lavaan, I need to perform some matrix
computations involving matrix products and crossproducts. As far as I see I
cannot directly call the C code in the R core. So I copied the code in the
Dear package developers,
in creating a package lavaanC for use in lavaan, I need to perform some matrix
computations involving matrix products and crossproducts. As far as I see I
cannot directly call the C code in the R core. So I copied the code in the R
core, but the same C/C++ code in a pac
On 2024-12-05 3:06 a.m., Adelchi Azzalini wrote:
Thanks, Duncan, for the kind advice.
In my understanding, this is what I have done (or I tried to do). My code is
as follows:
opt.methods <- c("Nelder-Mead", "BFGS", "nlminb")
if(requireNamespace("nloptr", quietly = TRUE)) {
nloptr.m
Le 05/12/2024 à 09:06, Adelchi Azzalini a écrit :
Thanks, Duncan, for the kind advice.
In my understanding, this is what I have done (or I tried to do). My code is
as follows:
opt.methods <- c("Nelder-Mead", "BFGS", "nlminb")
if(requireNamespace("nloptr", quietly = TRUE)) {
nloptr.
Thanks, Duncan, for the kind advice.
In my understanding, this is what I have done (or I tried to do). My code is
as follows:
opt.methods <- c("Nelder-Mead", "BFGS", "nlminb")
if(requireNamespace("nloptr", quietly = TRUE)) {
nloptr.methods <- c("newuoa", "bobyqa", "cobyla")
if(opt.
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