libslepc-complex3.16
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.
gcc-14-mipsel-linux-gnu
GNU C compiler for the mipsel-linux-gnu architecture
This is the GNU C compiler for the mipsel-linux-gnu architecture,
a fairly portable optimizing compiler for C.
gir1.2-gtk-4.0
GTK graphical user interface library -- gir bindings
GTK is a multi-platform toolkit for creating graphical user
interfaces. Offering a complete set of widgets, GTK is suitable
for projects ranging from small one-off tools to complete application
suites.
libgtsam4
Factor graphs for sensor fusion in robotics
GTSAM is a C++ library that implements sensor fusion for robotics and computer
vision applications, including SLAM (Simultaneous Localization and Mapping), VO
(Visual Odometry), and SFM (Structure from Motion). It uses factor graphs and
Bayes networks as the underlying computing paradigm rather than sparse matrices
to optimize for the most probable configuration or an optimal plan. Coupled
with a capable sensor front-end (not provided here), GTSAM powers many
impressive autonomous systems, in both academia and industry.
libgtk-4-media-gstreamer
GStreamer media backend for the GTK graphical user interface library
GTK is a multi-platform toolkit for creating graphical user
interfaces. Offering a complete set of widgets, GTK is suitable
for projects ranging from small one-off tools to complete application
suites.
python3-asdf-standard
Python package describing the Advanced Scientific Data Format
ASDF (Advanced Scientific Data Format) is a proposed
next generation interchange format for scientific data. ASDF aims to
exist in the same middle ground that made FITS so successful, by
being a hybrid text and binary format: containing human editable
metadata for interchange, and raw binary data that is fast to load
and use. Unlike FITS, the metadata is highly structured and is
designed up-front for extensibility.