libgnuastro16

GNU Astronomy Utilities shared libraries

GNU Astronomy Utilities (Gnuastro) is a collection of programs (the `gnuastro' package) and librarires (this package along with `libgnuastro-dev') for astronomical data analysis and manipulation. The programs can be run on the command-line for efficient and easy usage and the libraries can be used within C and C++ programs.

guider

runtime performance analyzer tool

This is an integrated performance analyzer. It provides most of the features needed to measure, analyze, test and verify system performance. It is made to work on all platforms from very old to modern.

libphobos2-ldc-shared100

LLVM D Compiler - Standard and runtime libraries

LDC is a portable compiler for the D programming language with modern optimization and code generation capabilities. It is based on the latest DMD frontend and uses LLVM as backend.

elpa-orderless

Emacs completion style that matches multiple regexps in any order

This package provides an Emacs orderless completion style that divides the pattern into space-separated components, and matches candidates that match all of the components in any order. Each component can match in any one of several ways: literally, as a regexp, as an initialism, in the flex style, or as multiple word prefixes. By default, regexp and literal matches are enabled.

librocalution0

ROCm library for iterative sparse solvers - library

rocALUTION is a library that provides iterative sparse preconditioners and solvers. The rocALUTION project began as a port of PARALUTION to the AMD ROCm platform. This library supports an OpenMP backend for multi-core CPUs and an MPI backend for multi-node clusters.

libsoplexshared6.0t64

sequential object-oriented simplex solver (shared library)

This package is part of the SCIP Optimization Suite. SoPlex is an optimization package for solving linear programming problems (LPs) based on an advanced implementation of the primal and dual revised simplex algorithm. It provides special support for the exact solution of LPs with rational input data.