linux-support-6.8.9

Support files for Linux 6.8

This package provides support files for the Linux kernel build, e.g. scripts to handle ABI information and for generation of build system meta data.

python3-virt-firmware

Tools for manipulating edk2 (ovmf/qemu-efi) firmware images

This is a collection of tools for edk2 firmware images. They support decoding and printing the content of firmware volumes. Variable stores (e.g. OVMF_VARS.fd) can be modified, for example to enroll secure boot certificates. Tools included:

libpetsc-complex3.20

Shared libraries for version 3.20 of PETSc with Complex Numbers

PETSc is the "Portable Extensible Toolkit for Scientific Computation", a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for all message-passing communication. Several sample scientific applications, as well as various papers and talks, demonstrate the features of the PETSc libraries.

libpetsc64-complex3.20

Shared libraries for version 3.20 of 64-bit PETSc with Complex Numbers

PETSc is the "Portable Extensible Toolkit for Scientific Computation", a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for all message-passing communication. Several sample scientific applications, as well as various papers and talks, demonstrate the features of the PETSc libraries.

pandoc-filter-diagram

Pandoc filter to render diagrams in Markdown code sections

This Lua filter is used to create figures from code blocks: images are generated from the code with the help of external programs. The filter processes diagram code for Asymptote, Cetz, Graphviz, Mermaid, Pikchr, PlantUML, and TikZ.

libslepc-complex3.20

Scalable Library for Eigenvalue Problem Computations

SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix.