Tootfinder

I hate trying to work with OS/2. I'm told this worked on IBM systems, but it's a pain in the ass on anything else. Right now, it can see the drive, crate partitions, but not volumes. And it needs volumes to install.
I'm at the point where I be happy if it nuked my two windows installs (because I can put those back) if it would just install itself....
#retrocomputing

'fsadm' is a command line tool that can resize a filesystem and the underlying lvm or luks partition at the same time, for ext* and XFS. It avoids the need to remember to do the lvm lv resize, and the filesystem resize dance separately.
https://man7.org/linux/man-pages/man8/

Unified Spectrospatial Forward Models: Spatially Continuous Maps of Weak Emission Lines in the Rosette Nebula with SDSS-V LVM
Thomas Hilder, Andrew R. Casey, Julianne J. Dalcanton, Kathryn Kreckel, Amelia M. Stutz, Amrita Singh, Guillermo A. Blanc, Sebasti\'an F. S\'anchez, J. E. M\'endez-Delgado, Andrew K. Saydjari, Luciano Vargas-Herrera, Niv Drory, Dmitry Bizyaev, Jos\'e G. Fern\'andez-Trincado, Carlos G. Rom\'an-Z\'u\~niga, Juna A. Kollmeier, Evelyn J. J…

Unified Spectrospatial Forward Models: Spatially Continuous Maps of Weak Emission Lines in the Rosette Nebula with SDSS-V LVM
Analyses of IFU data are typically performed on a per-spaxel basis, with each spectrum modelled independently. For low signal-to-noise (S/N) features such as weak emission lines, estimating properties is difficult and imprecise. Arbitrary binning schemes boost S/N at the cost of resolution, and risk introducing biases. We present a general forward-modelling approach that assumes spectra close on the sky are more similar than distant ones, and so can be modelled jointly. These "spectrospatial" m…

'debootstrap' is one of my favourite parts of debian - and you can use it from other distros as well! It lets you setup a debian install in a directory for use with a container/chroot/etc .
My most recent two uses are 1) Building up a new debian install on an existing machine running a different distro in an LVM LV on the running system and configoring it, ready to go on reboot 2) Installing a very old debian chroot for some testing.

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
https://arxiv.org/abs/2509.15999 h…

Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Learning representations for solutions of constrained optimization problems (COPs) with unknown cost functions is challenging, as models like (Variational) Autoencoders struggle to enforce constraints when decoding structured outputs. We propose an Inverse Optimization Latent Variable Model (IO-LVM) that learns a latent space of COP cost functions from observed solutions and reconstructs feasible outputs by solving a COP with a solver in the loop. Our approach leverages estimated gradients of a…