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v 1.2.3
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stla committed May 17, 2022
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: EigenR
Type: Package
Title: Complex Matrix Algebra with 'Eigen'
Version: 1.2.2
Version: 1.2.3
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Matrix algebra using the 'Eigen' C++ library: determinant, rank, inverse, pseudo-inverse, kernel and image, QR decomposition, Cholesky decomposition, linear least-squares problems. Also provides matrix functions such as exponential, logarithm, power, sine and cosine. Complex matrices are supported.
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4 changes: 4 additions & 0 deletions NEWS.md
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# EigenR 1.2.3

Fixed a mistake in `Eigen_UtDU`.

# EigenR 1.2.2

No change for the user.
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5 changes: 4 additions & 1 deletion R/EigenR.R
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Expand Up @@ -426,9 +426,12 @@ Eigen_UtDU <- function(M){
utdu <- EigenR_UtDU_cplx(Re(M), Im(M))
utdu[["U"]] <- utdu[["U"]][["real"]] + 1i * utdu[["U"]][["imag"]]
utdu[["D"]] <- utdu[["D"]][["real"]] + 1i * utdu[["D"]][["imag"]]
utdu[["perm"]] <- 1L + utdu[["perm"]]
utdu
}else{
EigenR_UtDU_real(M)
utdu <- EigenR_UtDU_real(M)
utdu[["perm"]] <- 1L + utdu[["perm"]]
utdu
}
}

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6 changes: 0 additions & 6 deletions cran-comments.md
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This is a resubmission. As shown on the CRAN results page, the installation
failed on Windows 32 bits, it threw the error message "cc1plus.exe: out of memory". My C++ code was made of a unique file. I splitted it into numerous
small files. I tested the 32 bits installation on my laptop, and it has been
successful.


## Test environments

* Windows 10, R-4.1.2
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