On Fri, 19 Jul 2024, Khue Tran wrote:
I will need to run eigen() on a symmetric matrix, but I want to get arbitrary
precise eigenvalues since we will need those eigenvalues for our further
calculations. Does that make sense?
For a symmetric matrix there is a nice algorithm that is simple
I will need to run eigen() on a symmetric matrix, but I want to get
arbitrary precise eigenvalues since we will need those eigenvalues for our
further calculations. Does that make sense?
Best,
Khue Tran
On Fri, Jul 19, 2024 at 12:14 PM Vladimir Dergachev
wrote:
>
> Do you need to run eigen() on
Do you need to run eigen() on an arbitrary matrix or symmetric one ?
best
Vladimir Dergachev
On Fri, 19 Jul 2024, Khue Tran wrote:
Thank you Simon! This is very helpful! Regarding eigen, I found in the
Boost library the following example for arbitrary precision matrix solver:
https://github
Thank you Simon! This is very helpful! Regarding eigen, I found in the
Boost library the following example for arbitrary precision matrix solver:
https://github.com/boostorg/multiprecision/blob/develop/example/eigen_example.cpp.
I am not sure if the precision is fully preserved throughout the proce
On the other hand, Rmpfr did allow me to write an mpfr rootfinder for Martin M.
in 2011
(he modified and streamlined it for use) since one can run R codes on mpfr
objects
as long as one is careful which operators are applied. So one probably could do
something with a very pedestrian eigenvalue m
Khue,
> On 19/07/2024, at 11:32 AM, Khue Tran wrote:
>
> Thank you for the suggestion, Denes, Vladimir, and Dirk. I have indeed
> looked into Rmpfr and while the package can interface GNU MPFR with R
> smoothly, as of right now, it doesn't have all the functions I need (ie.
> eigen for mpfr cla
Thank you for the suggestion, Denes, Vladimir, and Dirk. I have indeed
looked into Rmpfr and while the package can interface GNU MPFR with R
smoothly, as of right now, it doesn't have all the functions I need (ie.
eigen for mpfr class) and when one input decimals, say 0.1 to mpfr(), the
precision i
I submitted a package to winbuilder, yesterday. Twice. No response of
any sort. Is the system down, for some reason? Anyone know? Ta.
cheers,
Rolf Turner
--
Honorary Research Fellow
Department of Statistics
University of Auckland
Stats. Dep't. (secretaries) phone:
+64-9-373-7599
Hi Khue,
On 19 July 2024 at 06:29, Khue Tran wrote:
| I am currently trying to get precise inputs by taking strings instead of
| numbers then writing a function to decompose the string into a rational
| with the denominator in the form of 10^(-n) where n is the number of
| decimal places. I am n
I see there are existing extended precision packages: Ryacas and Rmpfr,
you might want to take a look at them and their representation of numbers
with higher precision than a double.
best
Vladimir Dergachev
On Fri, 19 Jul 2024, Khue Tran wrote:
Hi,
I am trying to create an Rcpp package
Hi Khue,
Have you already checked the Rmpfr package?:
https://cran.r-project.org/package=Rmpfr
Best,
Denes
On 7/18/24 22:29, Khue Tran wrote:
Hi,
I am trying to create an Rcpp package that involves arbitrary precise
calculations. The function to calculate e^x below with 100 digits precisio
Hi,
I am trying to create an Rcpp package that involves arbitrary precise
calculations. The function to calculate e^x below with 100 digits precision
works well with integers, but for decimals, since the input is a double,
the result differs a lot from the arbitrary precise result I got on
Wolfram
Hi Chaofan and welcome to R-package-devel!
В Wed, 17 Jul 2024 11:52:53 -0700
Bill Huang <10billhuan...@gmail.com> пишет:
> The package can be installed successfully locally and passed CRAN
> auto-check. However, it cannot pass the gcc-UBSAN test with the
> following error message: a problem with
On the subject of extendr ... the recently published JOSS paper (which also
mentions CRAN compliance under the "Creating Rust-powered R packages section")
provides a good entry point for those interested in using extendr for their
R/Rust packages: https://joss.theoj.org/papers/10.21105/joss.063
Hi, Team.
I am working on a package that uses RcppEigen. The package can be installed
successfully locally and passed CRAN auto-check. However, it cannot pass
the gcc-UBSAN test with the following error message: a problem with the LLT
function in Eigen. I am not sure how to fix this. Any suggestio
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